What are programming courses and why are they essential?

Programming courses are classes or courses that teach students how to write code for computer programs, websites, mobile apps, and other technological applications. These courses can cover a wide range of programming languages such as Python, Java, C++, JavaScript, Ruby, and more.

In today’s world, programming courses are essential for all. Let’s talk about why children should learn coding through programming courses. 

• Future Job Opportunities: Parents wish and plan for the best future for their students. Technology is becoming more and more important in our daily lives, and this trend is expected to continue in the future. There is a growing demand for skilled programmers who can develop software, applications, and websites. Enrolling in the best programming courses and learning to code early is a great start to a bright future for young learners. 
• Creativity and innovation: Programming encourages children to think creatively and come up with innovative solutions to problems. Children learn to design and develop software and applications that solve real-world problems in programming courses. They can also experiment with different approaches and develop their own unique solutions.
• Improved academic performance: Studies have shown that learning to code can improve academic performance in other subjects, such as math and science. Programming courses can help children develop logical reasoning skills that can benefit them in many other areas of their education.
• Fosters collaboration: Programming courses often involve group projects, which help children develop teamwork and collaboration skills. These skills are valuable not only in programming but in many areas of life.

If you are an older student, who wishes to transition to a career in technology, enrolling in good programming courses becomes all the more important, due to these reasons:

• Career opportunities: Programming skills are in high demand across a variety of industries, including tech, finance, healthcare, and many more. The coding knowledge and practice that programming courses provide can enhance your job prospects and provide opportunities for career advancement.
• Problem-solving skills: Programming requires logical thinking, breaking down complex problems into smaller, more manageable parts, and finding solutions to those problems. These skills are valuable not only in programming but also in many other areas of work and life.
• Entrepreneurship: Many successful startups have been built on the foundation of programming skills. Learning these skills through comprehensive programming courses can help you develop and launch your own products or services, creating new opportunities for yourself and others.
• Personal growth: Learning programming can be a fulfilling and intellectually stimulating experience that can enhance your personal growth and development. It can also help you stay up to date with the latest technological advancements and trends.
• Automation and Artificial Intelligence: As more industries automate their processes and adopt artificial intelligence, programming skills become increasingly valuable to help create and maintain these systems.

In summary, programming courses are of vital importance to all in today’s world because they provide future job opportunities, digital literacy, encourage creativity, develop logical thinking, and teach a new language. And to that end, it becomes very necessary to choose one or more of the best programming courses that are available online. PurpleTutor is an online learning platform that offers excellent programming courses for all categories of students, according to age and skill level. We invite you to explore these programming courses in detail.

Which programming courses are offered by PurpleTutor?

PurpleTutor offers programming courses for students falling into the following age groups:

Age group 1 – from 6 to 8 years

Age group 2 – from 9 to 11 years

Age group 3 – from 12 to 15 years

Age group 4 – from 15 years onwards

The details of the courses for students in each age group are given below. 

Age 6 to 8 years (Little Champs Course)

• BASIC PROGRAMMING CONCEPTS – Unplugged activities and puzzles are used to demonstrate and build an understanding of the basic concepts of programming such as commands, sequencing, algorithm, and code
• ADVANCED PROGRAMMING CONCEPTS – Advanced concepts of programming are introduced and explained in the courses. These concepts are used by students in building personalized projects and games.
• BASIC ANDROID APP DEVELOPMENT- The basics of UI/UX design are covered in this course. Students develop simple apps withThunkable.
• ADVANCE ANDROID APP DEVELOPMENT – Students learn the creation of advanced apps such as game apps, quiz apps, etc.
• SCRATCH AND ARTIFICIAL INTELLIGENCE – Through the Scratch programming interface, students undertake a movie-making project and a game project. The basics of Artificial intelligence are covered. Students then learn how to use the machine learning models to create projects in the Scratch platform.
• SPACE TECHNOLOGY: In these courses, they travel virtually to Space by building fascinating games and prototype models based on the concepts of space.

Age 9 to 11 years (Young Learners Course)

• BASIC PROGRAMMING CONCEPTS – Building an understanding of programming concepts such as commands, sequencing, algorithms, and code through unplugged activities.
• 2D ANIMATION AND GAME DESIGN – Creating beautiful landscapes, and drawings as well as developing animations and interactive games.
• ANDROID APP DEVELOPMENT – Designing UI/UX for simple Android apps using Thunkable.
• ADVANCED ANDROID APP DEVELOPMENT – Experimenting with the creation of advanced apps such as game apps, quiz apps, etc.                
• SCRATCH AND ARTIFICIAL INTELLIGENCE – In this coding course, students learn how to use the Scratch programming interface. The coding classes include  movie-making and game projects. Students are then introduced to the basics of Artificial intelligence and learn how to use the machine learning models to create projects in the Scratch platform.
• INTRODUCTION TO PYTHON PROGRAMMING – Learning Python programming using blocks and gradually shifting to text-based programming. Creating drawings and games using Python Turtle Commands
• 3D ANIMATION AND GAME DESIGN – Learning how to create animations and interactive games in a 2d environment using JavaScript. After exploring the basics of game design using Javascript, students get to work in the 3d environment. Students create 3D terrains, model, and complete game design with a scoreboard using LUA Coding in Roblox Studio
• SPACE TECHNOLOGY – Unravel mysteries of Space by building fascinating games and prototype models based on the concepts of space
• WEB DEVELOPMENT AND CYBER SECURITY – In these coding classes, students will create their own website using HTML commands and style it using CSS. The coding classes in this coding course also explore safe techniques to be followed while working on the internet.
• INTRODUCTION TO DATA SCIENCE – Learn how to run basic math operations to analyze data and represent it using different types of charts and infographics. With Python Pandas library commands students will learn to create tables, insert data in them and print them.  

Age 12 to 15 years (Early Achievers Course)

• 2D ANIMATION AND GAME DESIGN USING JAVASCRIPT – During these coding classes, the students will learn the drawing commands of JavaScript in the block-based environment and then learn how to create sprites, and manipulate their properties. They will use events to create animations and interactive games.
• INTRODUCTION TO PYTHON PROGRAMMING – During these coding classes the students will learn the basic concepts of Python and code programs using a text-based editor. All programs are written using the Python Turtle library.
• ADVANCED PYTHON PROGRAMMING – Students will explore advanced Python concepts such as data types, type casting, and basic data structures like tuples, lists, and dictionaries. 
• ARTIFICIAL INTELLIGENCE – Students are introduced to AI and Machine Learning. They will create voice, image, and text recognition projects using teachable machines and Scratch. They then explore deeper into how computers visualize images and create various image and video manipulation projects using the CV2 library of Python. They also create a machine learning model for emotion detection, using Python code.
• ANDROID APP DEVELOPMENT – The students will explore UI/UX design basics, and design and develop simple apps like language translator, text-to-speech converter, color mixer, etc, using the Thunkable interface.
• WEB DEVELOPMENT – Students will learn how to create webpages using HTML commands and style them using CSS. They will learn how to make websites interactive. Students will make their own personal websites that can be hosted on the internet.
• 3D ANIMATION AND GAME DESIGN – Students will learn the basics of 3d designing in the Roblox studio coding classes. They will create 3d objects, scenes, animations, and a maze game, using commands of the LUA programming script.
• DATA SCIENCE – PYTHON – Students will work with Google Sheets and Forms to collect and store data. They will learn how to use the Python Numpy module to analyze data. Students will explore the Python Panda library commands to create dataframes. They will learn how to read data from the CSV file and how to visually represent the data using the Python Matplotlib library. 
• SPACE TECHNOLOGY – Students will learn to build 3D models and simulations of the functionalities, based on the concepts of space and the technology that is used for it. This coding course offers exposure to Tech-driven projects in 3D.

Age 15 years onwards (Young Professionals Course)

• PYTHON BASICS – Students will reinforce their knowledge of the core Python programming concepts, during these coding classes. They will get hands-on experience in activities to apply their understanding of basic data types, conditionals, loops, typecasting, basic data types, functions, and variables.
• PYTHON DATA STRUCTURES – I – Students will explore advanced data structures of Python namely lists, dictionaries, tuples, strings, stacks, and queues. they will be given the practice to write code on how to manipulate data in these data structures using python functions.
• PYTHON DATA STRUCTURES – II – Students will learn how to apply Binary and Linear search algorithms for searching elements. They will also learn how to use Insertion and bubble sort algorithms to sort data.
• DATA SCIENCE FUNDAMENTALS WITH PYTHON – Students will learn how to import and use the math, random, and statistics Python libraries that are used in Data Science. In these coding classes, they will also learn about Object Oriented Programming and how to apply it.
• DATA SCIENCE WITH PYTHON -Students will learn to apply statistics module functions to data. They will work to organize and manipulate data in arrays, series, and data frames using NumPy. They will also explore the Matplotlib library to represent data using different graphs.
• INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING – Students will be introduced to AI and then explore the applications, limitations, biases, ethics, and future of AI. They will gain an understanding of basic AI terms such as supervised learning, unsupervised learning, deep learning, and neural networks.

How will students benefit by enrolling in our programming courses?

Here are some ways in which students can benefit by enrolling in our programming courses – 

• Comprehensive curriculum: PurpleTutor offers a comprehensive curriculum that covers a wide range of programming languages, from the basics to advanced topics. The platform offers programming courses in languages and technologies such as Python, JavaScript, Roblox with Lua coding, Web development with HTML/CSS/JavaScript, and more.
• Personalized learning: PurpleTutor uses adaptive learning technology that adjusts the pace and difficulty of the courses according to each student’s learning needs. This helps students learn at their own pace and achieve better results.
• Live coding sessions: PurpleTutor offers live coding sessions with experienced instructors, where students can ask questions, get feedback, and interact with other students. This helps students develop a deeper understanding of programming concepts and improve their coding skills.
• Hands-on practice: PurpleTutor provides hands-on practice exercises and projects that help students apply programming concepts to real-world scenarios. This helps students build a strong foundation in programming and develop problem-solving skills.
• Instant feedback: PurpleTutor provides instant feedback to students as they complete programming exercises and quizzes. This helps students identify their strengths and weaknesses and adjust their learning accordingly.
• Career readiness: PurpleTutor’s programming courses are designed to prepare students for careers in the tech industry. The courses provide students with the skills and knowledge they need to pursue jobs as programmers, software developers, and other tech-related careers.
• Flexibility: PurpleTutor offers flexible scheduling, allowing students to learn to program on their own time and at their own pace. Students can access the courses from anywhere in the world, as long as they have an internet connection.

Course Content, Duration, and Certificate

To view the detailed course content for each course, please click on the course name. The number of sessions for each coding course is given in the Duration column. Each session lasts for an hour.

Students will be eligible to get a certificate at the end of each of the given coding courses.

Ages 6-8 years (Little Champs Course)

Age 9-11 years (Young Learners Course)

Ages 12-15 years(Early Achievers Course)

Ages 15+ years(Young Professionals Course)

Course Requirement

• Most of our programming courses do not need the student to have any coding knowledge before starting the course. The basic concepts are covered at the start of the course, before moving on to advanced topics.
• Students should have a laptop or computer with a webcam and a stable internet connection to take our programming courses.
• For the Data Science programming courses, the student needs to know core Python programming concepts.
• To enroll in the 3D Animation and Game Design course and the Space Tech course for the Age group 12-15 years, the Roblox hardware and OS requirements are mentioned here. 

What is a Core Python Programming Course?

A Core Python Programming course is an essential training program for any student interested in learning the Python programming language. It is designed to provide students with a comprehensive understanding of the core concepts of Python and its syntax. Python Core is the foundation of the language, and understanding these concepts is critical to mastering the language.

The Python Core course covers the basics of Python programming, including data types, control structures, functions, input/output, file handling, and object-oriented programming concepts. These concepts are the building blocks of Python Core, and students will learn how to use them to develop simple to complex programs.

Python is a versatile language that can be used for a wide range of applications. From web development to scientific computing, Python Core is at the heart of the language’s capabilities. Understanding the core concepts of Python is essential for developing high-quality software and applications.

Whether you are a beginner or an experienced programmer, a Core Python Programming course can help you take your Python skills to the next level. It provides a solid foundation in Python Core concepts and syntax. It is the first step towards becoming a proficient Python developer and mastering the language’s advanced features. PurpleTutor is an online learning platform that has an impressive array of Python courses, including Python Core and Python Advanced, for students of different ages and levels. If you are interested in learning Python or wish to enroll your child in a Python Core course, do take a look at our courses and explore their detailed content.

What will you learn in our Python Core courses?

Our Python courses are available to students falling into the following age groups: 

Age 9 – 11 Years (Young Learners Course)

This is the Python Core course which is split into 2 parts as follows –

1. INTRODUCTION TO PYTHON PROGRAMMING – Learning Python programming using blocks. Creating drawings and games using Python Turtle Commands
2. ADVANCED PYTHON PROGRAMMING – Students will shift to text-based programming and explore advanced Python concepts such as type casting, string handling, functions, lists, and more.

In addition to the Python Core course, as detailed above, we also have a Python for Data Science course for students of 9 to 11 years. 

INTRODUCTION TO DATA SCIENCE – Students are introduced to data science concepts. They learn how to run basic math operations to analyze data and represent it using different types of charts and infographics. With Python Pandas library commands students will learn to create tables, insert data in them and print them.  

Ages 12-14 years (Early Achievers Course)

This is the Python Core course which is split into 2 parts as follows –

1. INTRODUCTION TO PYTHON PROGRAMMING – During these coding classes the students will learn the basic concepts of Python and code programs using a text-based editor. All programs are written using the Python Turtle library.
2. ADVANCED PYTHON PROGRAMMING – Students will explore advanced Python concepts such as data types, type casting, and basic data structures like tuples, lists, and dictionaries.

In addition to the Python Core course detailed above, PurpleTutor also offers these advanced Python courses for students in the age group of 12-14 years-

1. ARTIFICIAL INTELLIGENCE – Students are introduced to AI and Machine Learning. They will create voice, image, and text recognition projects using teachable machines and Scratch. They then explore deeper into how computers visualize images and create various image and video manipulation projects using the CV2 library of Python. They also create a machine learning model for emotion detection, using Python code.
2. DATA SCIENCE – PYTHON – Students will work with Google Sheets and Forms to collect and store data. They will learn how to use the Python Numpy module to analyze data. Students will explore the Python Panda library commands to create dataframes. They will learn how to read data from the CSV file and how to visually represent the data using the Python Matplotlib library.

Ages 15+ years (Young Professionals Course)

This is what the Python Core course covers for the students of this age group:

1. PYTHON BASICS – Students will learn the core Python programming concepts, during these coding classes. They will get hands-on experience in activities to apply their understanding of basic data types, conditionals, loops, typecasting, basic data types, functions, and variables.
2. PYTHON DATA STRUCTURES – Students will explore advanced data structures of Python namely lists, dictionaries, tuples, strings, stacks, and queues. they will be given the practice to write code on how to manipulate data in these data structures using python functions. Students will learn how to apply Binary and Linear search algorithms for searching elements. They will also learn how to use Insertion and bubble sort algorithms to sort data.

In addition to the Python Core course detailed above, PurpleTutor also offers these advanced Python courses for students who are 15 years or above-

1. DATA SCIENCE FUNDAMENTALS WITH PYTHON – Students will learn how to import and use the math, random, and statistics Python libraries that are used in Data Science. In these coding classes, they will also learn about Object Oriented Programming and how to apply it.
2. DATA SCIENCE WITH PYTHON – Students will learn to apply statistics module functions to data. They will work to organize and manipulate data in arrays, series, and data frames using NumPy. They will also explore the Matplotlib library to represent data using different graphs.

How will students benefit by choosing our Python core courses?

There are several benefits to students who choose to pursue any of our Python core courses such as:

Comprehensive Curriculum: PurpleTutor’s Python core courses cover a comprehensive curriculum that includes all the fundamental concepts of Python programming. Students can expect to learn everything from basic data types to advanced topics such as object-oriented programming.

Experienced Instructors: PurpleTutor’s Python core courses are taught by experienced instructors who have years of experience in the field of Python programming. These instructors bring a wealth of knowledge and practical experience to the classroom, making the learning experience more engaging and effective.

Interactive Learning: PurpleTutor’s Python core courses are designed to be interactive and engaging. Students are encouraged to participate in discussions and exercises, which helps them to understand the concepts better and apply them in practical scenarios.

Hands-on Practice: PurpleTutor’s Python core courses emphasize hands-on practice, with plenty of opportunities for students to write code and solve real-world problems. This approach helps students to develop their programming skills and gain confidence in their abilities.

Flexible Learning: PurpleTutor’s Python core courses are flexible, with online classes that can be taken from anywhere in the world. Students can learn at their own pace and schedule, which makes it easier to balance their studies with other commitments.

Overall, students who choose PurpleTutor’s Python core courses can expect to receive a comprehensive and engaging learning experience that prepares them for a successful career in Python programming. The courses are designed to provide students with the knowledge, skills, and confidence they need to become proficient Python developers.

Course Content, Duration, and Certificate

To view the detailed course content for each course, please click on the course name. The number of sessions for each coding course is given in the Duration column. Each session lasts for an hour.

Students will be eligible to get a certificate at the end of each of the given coding courses.

Age 9-11 years (Young Learners Course)

Ages 12-15 years (Early Achievers Course)

Ages 15+ years (Young Professionals Course)

Course Requirements

• For the majority of the Python coding courses, there are no coding prerequisites needed, since the course will start with the very basics before moving on to the core concepts. 
• It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our online coding classes.
• To take any of the Data Science coding courses directly, the student needs to know core Python programming concepts. 

How can an HTML CSS JavaScript course help me?

Are you interested in learning how to create dynamic and interactive web pages? If so, then an HTML CSS JavaScript course is just what you need! With this type of course, you can gain the knowledge and skills necessary to design and develop websites using the three main technologies of the web: HTML, CSS, and JavaScript.

An HTML CSS JavaScript course will teach you how to use HTML to structure the content of a web page, CSS to style the page and make it visually appealing, and JavaScript to add interactivity and functionality to the page. These three technologies are essential for creating modern, responsive, and user-friendly websites that can be accessed from any device.

There are many online courses available that cover these three technologies, and many of them are free. You can also find paid courses that offer more in-depth training and support, such as PurpleTutor’s online Web Development course which is an HTML CSS Javascript course. 

The great thing about our HTML CSS Javascript course is that you don’t need any prior experience in web development to get started. This course is designed for beginners who want to learn the basics of web development and start creating their own websites. Our course starts with the basics of design, explains the procedures of website development, and guides students to build a website from scratch.

So, if you’re interested in learning how to create modern and professional-looking websites, do consider taking our HTML CSS Javascript course. With this course, you can gain the knowledge and skills necessary to design and develop websites using the three main technologies of the web: HTML, CSS, and JavaScript. Start your journey today and take your first step towards becoming a web developer!

What will students learn in our HTML CSS Javascript course?

In PurpleTutor’s HTML CSS JavaScript course, students will learn the basics of HTML, including how to create headings, paragraphs, lists, and links. They will also learn how to use CSS to style these elements, including how to change the font, color, and layout of a web page. And with JavaScript, they will learn how to make clickable buttons, write code for handling events, and create dynamic and interactive elements such as dropdown menus, sliders, and animations.

Students will start building a website at the start of the web design course, on a topic of their choice. Students can choose to create their website about a favorite hobby, a cause they believe in, or any other topic of their interest. This website will grow as the course progresses, with students adding pages to it and applying the concepts that they learn. At the course’s end, the website will be ready to be hosted and used. 

This is what students will learn in our HTML CSS Javascript course and what they will implement while building their websites –

• HTML (HyperText Markup Language): the structure and content of a website
• CSS (Cascading Style Sheets): the presentation and styling of a website
• Graphic design: creating and working with visual elements for a website
• User Experience (UX) design: the process of coding for web design and designing a website for a specific purpose.
• Web design principles: creating visually appealing and effective websites
• Project management: Learning to plan, design, and develop a website.
• Cyber security: Learning about cyber crimes and how to stay safe in cyberspace.
• Responsive web design – Creation of websites that adapt to different devices, by providing optimum viewing and usage on different screens. 

Course Content

PurpleTutor offers an HTML CSS JavaScript course designed especially for kids falling in the age group of 9 -11 years. 

Name of the course – Web Development and Cyber Security for Young Learners (YL)

Required age of student – 9-11 years

While doing this course online, students explore different websites to understand the elements and design of the websites. They create their personal websites from scratch using HTML commands and style the web pages using CSS. Students learn how to make their pages interesting and attractive, by adding animation, audio, and videos. During the cyber security module, the students will explore the safe techniques to be followed while working on the internet.

You can explore the content for the YL Web Development and Cyber Security course for Ages 9-11 years, here –

To download the detailed YL Web Development and Cyber Security course content for Ages 9-11 years, click here!

PurpleTutor also offers an HTML CSS JavaScript course for students falling in the age group of 12-15 years. 

Name of the course – Web Development for Early Achievers (EA)
Required age of student – 12-15 years

While learning web design through this HTML CSS Javascript course, students explore different websites to understand the elements and design of websites. They create their personal websites from scratch using HTML commands and style the web pages using CSS. Students learn how to make their pages interesting and attractive, by adding animation, text effects, and clickable buttons which perform an action when clicked. Students learn how to make their web pages dynamic and interactive using JavaScript code. Making the website compatible with different devices through responsive web design is also covered in this course.

You can explore the content for the Web Development for Early Achievers (EA) (Ages 12-15 years) course here –

To download the detailed Web Development for Early Achievers (EA) course content, for Ages 12-15 years, click Here!

Course Duration and Certificate

The HTML CSS JavaScript course for Ages 9-11 years consists of 40 sessions, each session lasting for an hour. So, the total duration of this web design course is 40 hours.

The HTML CSS JavaScript course for Ages 12-15 years also consists of 40 sessions, each session lasting for an hour. So, the total duration of this web design course is 40 hours.

There will be a certificate awarded to the student on completion of the web design course. The certificate recognizes the skills the student learns and the level of mastery achieved.

Requirements for the course

• To take our web designing course online, students do not need to have any coding knowledge.
• There are no coding prerequisites since the web design course will start with the very basics before moving on to the core concepts.
• It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our web designing course online.

Frequently Asked Questions (FAQs)

1. Do you offer a demo class for prospective students? 
A: Yes. We offer one free demo class. You can book the free class from the booking link. We encourage you to take the class and assess the experience.

2. Can I choose my own days and times for the course?
A: Yes. The days and times of the web design course are flexible. You can select any time and any day that suits your child’s study timetable.

3. How do I know if learning web design is easy for my child?
A: The teachers assess the level of the student in the demo class and then will give the suggestion of whether to go ahead with the web designing course online.

4. Is there any certificate given after completion of the course?
A: Your child will get a certificate after completion of the course. The certificate recognizes the skills the student learns and the level of mastery achieved.

5. What do you require to learn coding from PurpleTutor?
A: It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our web designing course online

6. What are the courses that PurpleTutor offers?
Apart from Web Development, PurpleTutor provides cutting-edge courses to make students future-ready. We have courses on – Python Programming, JavaScript, Artificial Intelligence and Machine Learning, Data Science, App development, Space Tech & Roblox Games. We offer Math courses too. Please visit our courses section for more information or talk to a counsellor. We encourage you to book a complimentary class with us, enjoy & assess the in-class experience. One can also discuss courses with our teachers in-person too during the class too.

What makes Machine Learning and Python the best combination?

Python is one of the hottest programming languages today, and it needs no introduction. Python is a straightforward programming language, that generates code that is short, and easy to read and understand. In fact, many developers consider Python to be the most intuitive of all programming languages. The language’s simplicity makes it easy to construct trustworthy AI and ML models and systems. Data science, machine learning using Python, and programming are some of the business sectors where it is widely used. Due to its widespread use, Python has overtaken Java as the most popular programming language. This article explains why the young generation should learn Python Machine Learning Course 
 

With Machine Learning (ML), computers can understand data much like humans do with the help of artificial intelligence. Machine learning with Python course allows one to understand artificial intelligence that identifies patterns in raw data by employing algorithms. A key objective of machine learning with Python is to allow computer systems to learn from experience without engaging in explicit programming. Using the top programming languages like Python Machine Learning models are designed.
 
Artificial Intelligence and Machine Learning in Python are among the hottest fields of computer science right now, dominating research and development around the globe. Because of its simplicity, flexibility, and support for open-source libraries, Python is one of the most dominant languages in Machine learning with Python programming. In PurpleTutor’s Python Machine Learning course, students learn the skills required for Machine Learning using Python. Our Python and Machine Learning course is undoubtedly the best course for newbies. Get to know more about the course details by reading this article.

What will you learn in the course?

The Python Machine Learning course is designed based on the age group and duration. Here are the two categories of Machine Learning with Python online courses.

Ages 12-14 years (Early Achievers Course)

This is the Python Core course which is split into 3 parts as follows:

• INTRODUCTION TO PYTHON PROGRAMMING – During these coding classes the students will learn the basic concepts of Python and code programs using a text-based editor. All programs are written using the Python Turtle library.
• ADVANCED PYTHON PROGRAMMING – Students will explore advanced Python concepts such as data types, type casting, and basic data structures like tuples, lists, and dictionaries.
• ARTIFICIAL INTELLIGENCE – Students are introduced to AI and Machine Learning. They will create voice, image, and text recognition projects using teachable machines and Scratch. They then explore deeper into how computers visualize images and create various image and video manipulation projects using the CV2 library of Python. They also create a machine learning model for emotion detection, using Python code.

Ages 15+ years (Young Professionals Course)

This is what the Python Core course covers for the students of this age group:

• PYTHON BASICS – Students will learn the core Python programming concepts, during these coding classes. They will get hands-on experience in activities to apply their understanding of basic data types, conditionals, loops, typecasting, basic data types, functions, and variables.
• PYTHON DATA STRUCTURES – Students will explore advanced data structures of Python namely lists, dictionaries, tuples, strings, stacks, and queues. they will be given the practice of writing code on how to manipulate data in these data structures using Python functions. Students will learn how to apply Binary and Linear search algorithms for searching elements. They will also learn how to use Insertion and bubble sort algorithms to sort data.
• INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING – Students will be introduced to AI and then explore the applications, limitations, biases, ethics, and future of AI. They will gain an understanding of basic AI terms such as supervised learning, unsupervised learning, deep learning, and neural networks.

How will students benefit by choosing our Machine Learning with Python Course?

PurpleTutor’s Python Machine Learning Course offers several benefits for students who are interested in this field:

• Expert instructors:  Experienced instructors in the field of machine learning teach our courses. With their deep knowledge of the subject matter, they can offer students valuable guidance and insight.
• Personalized learning: Students will benefit from personalized learning experiences in our Python Machine Learning course. To help each student succeed, we offer individual attention and support based on their learning styles and needs.
• Hands-on projects: We include several hands-on projects in our Machine Learning course that allow students to apply their skills and knowledge to real-world problems. Projects like these provide students with valuable experience and allow them to build a portfolio of work to showcase their skills.
• Industry-relevant skills: The course provides students with skills that industry professionals demand. Upon completion of our course, students will have the knowledge and skills needed to succeed in machine learning.
• Flexible schedule: Python Machine Learning Course is designed to be flexible, allowing students to learn at their own pace. Online learning makes the course available to students from anywhere in the world.

Overall, students who choose PurpleTutor’s Python Machine Learning course can expect to receive a comprehensive and engaging learning experience that prepares them for a successful career in Python programming. The courses are designed to provide students with the knowledge, skills, and confidence they need to become proficient Python developers.

Course Content, Duration, and Certificate

To view the details of the Python with Machine Learning Course for each age group, please click on the course name. The number of sessions for each coding course is given in the Duration column. Each session lasts for an hour. 
 
Students will be eligible to get a certificate at the end of each of the given coding courses.

Ages 12-15 years (Early Achievers Course)

Ages 15+ years (Young Professionals Course)

Course Requirements

• For the Python and Machine Learning courses, there are no coding prerequisites needed, since the course will start with the very basics before moving on to the core concepts.
• It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our online coding classes.

AI With Python Course

Why AI with Python course the right choice for students?

The goal of artificial intelligence (AI) is to develop computers and machines that can perform tasks humans are naturally good at, such as understanding natural language, comprehending speech, and recognizing images. It has been more than half a century since AI was introduced, and its advancements have been growing exponentially ever. Python is the language of choice for scientific computing, data science, and machine learning because it enables the use of low-level libraries and clean APIs. A field of study such as Python AI is exciting and will continue to be influential in our lives as other technologies have done before it. When you’re just starting out with artificial intelligence (AI), Python is a great language to learn since most tools are built on top of it. Therefore, Python and AI are likely to generate a lot of research over the next decade, making it worthwhile for students to enroll in a Python AI course.

In every industry and research discipline, AI-enhanced applications are making better use of the insights gleaned from data. When it comes to addressing the numerous challenges faced by organizations, the top AI companies rely on the popular programming language, Python. Using Python AI techniques, the tools and methods driving this revolution process the massive piles of data that are generated each day and then take action in a meaningful way. The purpose of this article is to provide insight into Purple Tutor’s Python AI Course, exploring the key concepts that enabled it through a tour of important topics. With the goal of educating students and pushing the field of Python AI forward, we cover widely-used libraries and concepts, collected together for holistic comparison.

In conclusion, learning AI with Python can be an excellent choice for students who want to build a career in AI. In order to pursue a career in the tech industry, students should learn Python’s AI capabilities. It is recommended that students learn Python basics prior to learning AI and ML concepts. Using Python, students can gain proficiency in AI and ML. Enroll in Purple Tutor’s live Python AI online classes if you would like to learn more about Artificial Intelligence and Machine Learning with Python.

What will you learn in the course?

The Python AI course is designed based on the age group and duration. The two categories of Machine Learning with Python online courses are as follows:

Ages 12-15 years (Early Achievers)

This is the Python Core course which is split into 3 parts as follows:

• INTRODUCTION TO PYTHON PROGRAMMING – During these coding classes the students will learn the basic concepts of Python and code programs using a text-based editor. All programs are written using the Python Turtle library.
• ADVANCED PYTHON PROGRAMMING – Students will explore advanced Python concepts such as data types, type casting, and basic data structures like tuples, lists, and dictionaries.
• ARTIFICIAL INTELLIGENCE – Students are introduced to AI and Machine Learning. They will create voice, image, and text recognition projects using teachable machines and Scratch. They then explore deeper into how computers visualize images and create various image and video manipulation projects using the CV2 library of Python. They also create a machine learning model for emotion detection, using Python code.

Ages 15+ years (Young Professionals Course)

This is what the Python Core course covers for the students of this age group –

1. PYTHON BASICS – Students will learn the core Python programming concepts, during these coding classes. They will get hands-on experience in activities to apply their understanding of basic data types, conditionals, loops, typecasting, basic data types, functions, and variables.
2. PYTHON DATA STRUCTURES – Students will explore advanced data structures of Python namely lists, dictionaries, tuples, strings, stacks, and queues. they will be given the practice of writing code on how to manipulate data in these data structures using Python functions. Students will learn how to apply Binary and Linear search algorithms for searching elements. They will also learn how to use Insertion and bubble sort algorithms to sort data.
3. INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING – Students will be introduced to AI and then explore the applications, limitations, biases, ethics, and future of AI. They will gain an understanding of basic AI terms such as supervised learning, unsupervised learning, deep learning, and neural networks.

How will students benefit by choosing our Python AI Course?

Learning Python and Artificial Intelligence through a Purple Tutor’s Python AI course can offer several benefits to students. It can increase their job prospects, provide them with industry-relevant skills, and offer hands-on learning opportunities. Python and AI skills are versatile and can be used for a range of applications, making them an essential part of any student’s skill set.
The combination of AI and Python has opened up new opportunities for students, and learning AI with Python can be an excellent choice for students who want to build a career in AI. In this article, we will discuss why AI with Python is the right choice for students.

• Popularity and Relevance: Python is one of the most popular programming languages for AI and machine learning. Many AI applications and frameworks, such as TensorFlow, Keras, and PyTorch, are built using Python. Learning AI with Python can be a valuable skill for students interested in pursuing a career in the tech industry.
• Easy to Learn: Python is a simple and easy-to-learn language that has a low learning curve. Its syntax is easy to read and write, and it is ideal for beginners who are starting with AI development.
• Versatility: Python is a versatile language that can be used for a wide range of applications, including web development, scientific computing, data analysis, and machine learning. This makes it an ideal choice for students who want to learn AI and explore different applications of AI.
• Powerful Libraries: Python has several powerful libraries for AI and machine learning, including TensorFlow, Keras, PyTorch, and Scikit-learn. These libraries provide a range of tools and functions that make it easier to implement complex AI and ML algorithms.
• Career Opportunities: AI is a rapidly growing field, and the demand for AI professionals is expected to increase significantly in the coming years. Students who learn AI with Python can build a career in a range of industries, including healthcare, finance, retail, and more.
• Hands-On Learning: The AI with Python course typically includes hands-on exercises and projects, which allow students to apply what they have learned. This hands-on learning approach helps students to develop their skills and gain practical experience.

The demand for AI professionals is expected to increase significantly in the coming years. The hands-on learning approach in the AI with Python course allows students to develop their skills and gain practical experience, making them job ready.

Course Content, Duration, and Certificate

To view the details of the Python AI course for each age group, please click on the course name. The number of sessions for each coding course is given in the Duration column. Each session lasts for an hour. 

Students will be eligible to get a certificate at the end of each of the given coding courses.

Ages 12-15 years (Early Achievers Course)

Ages 15+ years (Young Professionals Course)

Course Requirements

• For the Python and Machine Learning courses, there are no coding prerequisites needed, since the course will start with the very basics before moving on to the core concepts.
• It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our online coding classes.

Frequently Asked Questions (FAQs)

1. Can I try a free class for coding?
A: Yes. We give one free demo class, which can be booked from the booking link. We encourage you to take the class and assess the experience.

2. Is the Python AI course schedule flexible?
A: Python AI course is flexible. You can select any time and any day that works around the student’s schedules.

3. How do I know whether Machine Learning using course is right for any student? 
A: The teachers assess the level of the student in the demo class based on which the course is suggested.

4. Will the student receive a certificate for the Python AI course?
A: Students get certificates after completion of each course. The certificate recognizes the skills the student learned and the level of mastery achieved.

5. What do you require to enroll in the Python AI course from PurpleTutor?
A: You need a laptop/computer with a webcam and a stable internet connection. There are no coding prerequisites to start with Artificial Intelligence. We recommend students take our Python courses before starting with Data Science.

6. What are the courses that PurpleTutor offers?
A: PurpleTutor provides Cutting edge courses to make the student’s future ready. We have courses like – Python, Web Development, Machine Learning and Artificial Intelligence Courses, Cyber Security, Roblox Games & many more on offer. Please visit our courses section for more information or talk to a counsellor. We encourage you to book a complimentary class with us, enjoy & assess the in-class experience. One can also discuss courses with our teachers in-person too during the class too.

7. What level will any student reach in coding after completing the Python AI course?
A: Students learn everything about Artificial Intelligence during the course like machine learning, computer vision, natural language processing, text recognition, voice recognition, and image recognition. According to the Python AI  course that they have undertaken, they will learn as per the curriculum.

Computer Science Course List

Why Computer Science Courses are essential for students?

Computer Science is a constantly evolving field. The dynamic nature of the field continually creates a demand for competent computer science professionals. Increasingly, computers are used in all spheres of life and it is necessary to have stable, better, and more productive software. Therefore, most companies are always looking for professionals who can create innovative and better software systems to increase efficiency. In addition to working in the computer industry as technical administrators, computer science graduates can also work in research-led areas. It’s no surprise then that the Purple Tutor has developed a computer science course list that includes in-demand programs to help young learners develop the skills necessary to thrive in today’s digital age. In this article, we will take a closer look at the top courses available in the Computer Science course list, how they are conducted, and why it’s crucial for the younger generation to learn to code.
 

The Purple Tutor’s computer science course list is spiced up with a wide range of topics, including programming languages like Python and JavaScript, web development, mobile app development, and data science. These courses are designed to be flexible, catering to both beginners and advanced learners. Each course is divided into modules, which are further broken down into lessons. These lessons are delivered through video lectures, readings, fun-filled projects, etc., All the offerings of the programs in the Computer Science Course List are designed to be engaging and interactive, with quizzes and assignments that test learners’ understanding of the material.

As the demand for computer science skills continues to grow, it’s essential for the younger generation to learn coding by choosing the best from the Computer Science Course list. This will benefit them not only in career opportunities but also in the valuable problem-solving and logical thinking skills that coding teaches. Without further ado, check out the article that outlines how you can make a gentle on-ramp into the world of coding by reviewing the details of the Computer Science course list.

What programs are included in the Computer Science Course list?

The popularity of online coding for students has grown in recent years. Technology and the internet have made it possible for students to learn to code from home. No matter where you live, online coding classes can provide your child with quality coding education. 

Students between the ages of 6 and 15 can take online computer science related courses with Purple Tutor. A variety of CS courses can be found on our Computer Science Course list. This includes Scratch coding, Python, Artificial Intelligence, 2D and 3D animation, game design, Java Script, web development, space technology, and application development. Coding courses in the Computer Science Course list are designed to be engaging and interactive, allowing children to learn and develop their problem-solving skills as they learn.

The following groups of students can learn coding online with PurpleTutor, by selecting one of the programs in the Computer Science Course list:

Age 6 to 8 Years (Lil Champs Course)

1. BASIC PROGRAMMING CONCEPTS – Understanding basic concepts of programming such as commands, sequencing, algorithm, and code through unplugged activities and puzzles. 
2. ADVANCED PROGRAMMING CONCEPTS – Exploration of advanced concepts of programming and how to use them in building personalized projects for visual storytelling and games. 
3. BASIC ANDROID APP DEVELOPMENT- Knowing the basics of UI/UX design and developing simple apps, using the Thunkable interface.
4. ADVANCE ANDROID APP DEVELOPMENT – Experimenting with the creation of advanced apps such as game apps, quiz apps, etc.
5. SCRATCH AND ARTIFICIAL INTELLIGENCE – Experiencing Scratch programming interface using a movie-making project and a game project. Students are then introduced to the basics of Artificial intelligence and learn how to use the machine learning models to create projects in the Scratch platform.
6. SPACE TECHNOLOGY: Our computer science online course on Space Technology will help you unravel the mysteries of space by building fascinating games and prototypes based on the concepts of space. 

Age 9 to 11 Years (Young Learners Course)

1. BASIC PROGRAMMING CONCEPTS – Developing an understanding of programming concepts such as commands, sequencing, algorithms, and code through unplugged activities.
2. 2D ANIMATION AND GAME DESIGN – Creating beautiful landscapes, and drawings as well as developing animations and interactive games using JavaScript in a Block-Based Coding environment.
3. ANDROID APP DEVELOPMENT – Designing UI/UX for simple Android apps using Thunkable.
4. ADVANCED ANDROID APP DEVELOPMENT – As a part of CS Courses students can experiment with the creation of advanced apps such as game apps, quiz apps, etc.
5. SCRATCH AND ARTIFICIAL INTELLIGENCE – Experiencing Scratch programming interface using a movie-making project and a game project. Students are then introduced to the basics of Artificial intelligence and learn how to use the machine learning models to create projects in the Scratch platform
6. INTRODUCTION TO PYTHON PROGRAMMING – Learning Python programming using blocks and gradually shifting to text-based programming. Creating drawings and games using Python Turtle Commands
7. 3D ANIMATION AND GAME DESIGN –Learning how to create animations and interactive games in a 2d environment using JavaScript. After exploring the basics of game design using Javascript, students get to work in the 3d environment. Students create 3D terrains, model, and complete game design with a scoreboard using LUA Coding in Roblox Studio
8. SPACE TECHNOLOGY – There are also computer science related courses that focus on Space Technology, where students can design and build fascinating games and prototype models based on Space concepts.
9. WEB DEVELOPMENT AND CYBER SECURITY – Creating their own website using HTML commands and styling it using CSS. Exploration of the safe techniques to be followed while working on the internet .
10. INTRODUCTION TO DATA SCIENCE – Learn how to run basic math operations to analyze data and represent it using different types of charts and infographics. With Python Pandas library commands students will learn to create tables, insert data in them and print them.  

Age 12 to 15 Years (Early Achievers Course)

1. 2D ANIMATION AND GAME DESIGN USING JAVASCRIPT – Creating beautiful landscapes, and drawings as well as developing animations and interactive games using JavaScript in a Block-Based Coding environment.
2. INTRODUCTION TO PYTHON PROGRAMMING – Learning Python programming using blocks and gradually shifting to text-based programming. Creating drawings and games using Python Turtle Commands.
3. ADVANCED PYTHON PROGRAMMING – Exploration of advanced Python concepts such as data types, type casting, and basic data structures like tuples, lists, and dictionaries.
4. ARTIFICIAL INTELLIGENCE – Practical experience in the making of voice, image, and text recognition projects using teachable machines and Scratch using Artificial Intelligence. Opportunity to create various image and video manipulation projects using the CV2 library of Python.
5. ANDROID APP DEVELOPMENT – Designing UI/UX for simple Android apps using Thunkable. Experimenting with the creation of advanced apps such as game apps, quiz apps, etc.
6. WEB DEVELOPMENT – Creating their own website using HTML commands and styling it using CSS.
7. 3D ANIMATION AND GAME DESIGN – Learning how to create animations and interactive games in a 2d environment using JavaScript. After exploring the basics of game design using Javascript, students get to work in the 3d environment. Students create 3D terrains, model, and complete game design with a scoreboard using LUA Coding in Roblox Studio
8. DATA SCIENCE – PYTHON – Learning to use Python Panda library commands to create dataframes and CSV File handling techniques. Representation of the data using Python Matplotlib library. 
9. SPACE TECHNOLOGY – Building 3D models and simulations of the functionalities, based on the concepts of space and the technology that is used for it. Exposure to Tech-driven projects in 3D.

Age 15+ Years (Young Professionals Course)

1. PYTHON BASICS – Understanding of basic data types, conditionals, loops, typecasting, basic data types, functions, and variables.
2. PYTHON DATA STRUCTURES – Exploration of advanced data structures of Python namely lists, dictionaries, tuples, strings, stacks, and queues. Learning to code how to manipulate data in these data structures using python functions. The course ends with a thorough conceptual understanding of searching and sorting algorithms
3. DATA SCIENCE FUNDAMENTALS WITH PYTHON – Learning how to use the math, random, and statistics Python libraries that are used in Data Science. Understanding of Object Oriented Programming concepts and their applications.
4. DATA SCIENCE WITH PYTHON – Knowing statistics module functions on data. Learning how to organize and manipulate data using NumPy. Representing data in graph using Mathplotlib
5. INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING – Exploration of the applications, limitations, biases, ethics, and future of AI. Understanding the basic AI terms such as supervised learning, unsupervised learning, deep learning and neural networks.

Frequently Asked Questions (FAQs)

1. Is there a free demo class?
A: Yes. We give one free demo class, which can be booked from the booking link. We encourage you to take the class and assess the experience.

2. Can I select my schedule for the classes?
A: Yes. We have flexible days and times. You can select any time and any day that suits your timetable.

3. How do I know if a student can follow the coding course easily?
A: The teachers assess the level of the student in the demo class and then will suggest whether to go ahead with the online coding courses.

4. Is there any certificate given on completion of the online coding course?
A: The student will get a certificate after completion of the coding course.

5. What do you require for learning coding from PurpleTutor?
A: It is necessary to have a laptop or computer with a webcam and a stable internet connection. For all the courses, there are no coding prerequisites required except for the Data Science coding courses. For these, the student needs to know core Python programming concepts.

For the 3D Animation and Game Design course and the Space Tech coding courses for the Age group 12-15 years. Please go through Roblox hardware and OS requirements as mentioned here.

6. Do you have assessments during the coding course?
A. Yes, we assess the student periodically during the progress of the coding classes and give feedback on the student’s performance.

7. What are the courses that PurpleTutor offers?
A: PurpleTutor provides Cutting edge courses to make the student’s future ready. We have courses like – Python, Web Development, Machine Learning and Artificial Intelligence Courses, Cyber Security, Roblox Games & many more on offer. Please visit our courses section for more information or talk to a counsellor. We encourage you to book a complimentary class with us, enjoy & assess the in-class experience. One can also discuss courses with our teachers in-person too during the class too.

Data Science And Machine Learning Course

What Is Data Science and Machine Learning Course?

Continuous evolution is taking place in the field of Machine Learning. It is a central component of many of today’s leading companies, including Facebook, Google, and Uber. In today’s world, many organizations and industries emphasize using data to improve their products and services. When we talk about data science alone, we are referring to only data analysis. The two fields of machine learning and data science must be intertwined. To make better and more appropriate decisions, engineers must use machine learning and data science. Young professionals and professionals with experience are opting for data science and machine learning courses as data science has gained prominence for processing and interpreting data efficiently. The data is then used by leaders to make informed decisions, drive growth, optimize spending, and improve performance. There are a number of reasons why data science and machine learning course is the need of the hour. In this article, we will discuss the importance of data science and machine learning course. 

The first benefit is that they provide students with the knowledge and skills required to analyze large datasets. Second is that data-driven businesses today seek professionals who possess data insights and are able to work with data. There is one crucial reason why Data Science and Machine Learning course is so popular. Through Data Science and Machine Learning, “Taking better decisions and making smart actions through high-value predictions in real-time is possible even without the help of humans” 

Several career opportunities await Data Scientists in the future. A number of industries are expected to benefit from Data Science 2030, including banking, finance, insurance, entertainment, telecommunications, automobiles, etc. For anyone interested in working in data science, machine learning, and data science courses are essential. The courses provide students with the skills and knowledge needed to analyze large datasets, use advanced analytics tools, and work with machine learning algorithms. In today’s data science world, taking the best data science and machine learning courses makes you a future-ready Data Scientist.

What will you learn in the course?

The Data Science and Machine Learning course is designed based on the age group and duration. We have age-appropriate courses across all levels. The categories of AI Machine Learning courses online are as follows:

Age 6 to 9 Years (Lil Champs Course)

During Artificial Intelligence classes, students are given a quick overview of the Scratch programming interface and are then introduced to the basics of Artificial intelligence concepts and terms. Projects based on Text, Voice, and Image recognition are done by the students.

Age 10 to 11 Years (Young Learners Course)

The Artificial Intelligence course begins with a brief overview of the Scratch programming interface, as well as a basic introduction to the concept and terminology of artificial intelligence at the beginning of the Artificial Intelligence Data Science course. Students develop projects involving text, voice, and image recognition.
During Data Science classes, students will explore and understand different types of data and their real-life applications. They will also be able to analyze data and represent it using different types of charts and infographics. 

Age 12 to 14 Years (Early Achievers Course)

Data Science and Machine Learning course begins with students learning about Machine Learning and Artificial Intelligence through various Google AI experiments. Through various image and video manipulation projects created during our AI and ML Courses with the CV2 library of Python, they examine how computers visualize images.

During the Data Science course, students will explore and understand different types of data and their real-life applications. They will be introduced to the working of Google Sheets and will learn how to analyze data, read data from the CSV file, and finally analyze data. Students will learn how to visually represent the data using different types of charts and infographics.

More than 15 Years (Young Professionals Course)

In this ML and AI course, students will explore AI’s applications, limitations, biases, ethics, and future after discussing what AI is. As part of this course, they will learn about supervised learning, unsupervised learning, deep learning, and neural networks, which are all basic AI terms.

In the Data Science course, students will learn about different types of data and their real-life applications. Analyzing data will be done using Numpy, a Python module. Dataframes will be created using Python Panda library commands. By using Pandas, students will learn how to read data from CSV files and analyze data with data frames. Data will be visually represented using the Python Matplotlib library.

Looking for Machine Learning Course online?
Check out PurpleTutor’s Artificial Intelligence and Data Science free online course for beginners!

Benefits of taking Data Science and Machine Learning Course

The need for machine learning and data science courses is driven by the demand for skilled professionals in these fields, advancements in technology, and the importance of data-driven decision-making in various industries. Here are some factors that can influence the need for machine learning and data science courses:

1. Job Market: The demand for professionals with skills in machine learning and data science is growing rapidly. This has led to an increase in the number of job openings and higher salaries for individuals with these skills. This creates a need for individuals to acquire the skills necessary to enter or advance in these fields.
2. Industry-Specific Demand: Different industries, such as healthcare, finance, and marketing, are increasingly relying on machine learning and data science. This creates a need for professionals with specialized knowledge in these industries.
3. Technology Advancements: The rapid advancements in technology have made it easier to collect and store large amounts of data. This has led to an increase in the need for professionals who can work with these technologies.
4. Data-Driven Decision-Making: Companies are increasingly relying on data to make strategic decisions. This has led to a need for individuals who can analyze and interpret data to provide insights that can drive business decisions.
5. Personal and Professional Development: Machine learning and data science courses can provide individuals with opportunities to develop their skills and advance their careers. This can include learning new technologies, acquiring new skills, or advancing in their current careers.
6. Shortage of data scientists: Being a data scientist is one of the most in-demand jobs today. Nevertheless, this career still has a shortage of workers. This might be due to the fact that it’s a challenging course.
7. Availability of Courses: The availability of machine learning and data science courses has increased, with many universities and online platforms offering courses in these fields. This creates an opportunity for individuals to acquire the skills they need to enter or advance in these fields.

Course Content

AGE 6 TO 8 YEARS (LIL CHAMPS COURSE)

During Scratch and Artificial Intelligence classes, students learn about the Scratch programming interface through a movie-making project and a game project. They are then introduced to the basic concepts and terminology of artificial intelligence. They then create Scratch projects using machine learning models that recognize text, voice, and image commands.

To download the detailed Lil Champs course content for ages 6-8 yrs, click here!

AGE 9 TO 11 YEARS (YOUNG LEARNERS COURSE)

During the initial phase of our online Artificial Intelligence classes, students will get introduced to the Scratch Programming interface through movie making and game projects. After having understood the basics of what AI is, students will get explored the coding concepts involving conditionals, events, lists, functions, and so on. The students then learn to train machine models to recognize text, voice, and image commands and use the same models to create projects in Scratch.
To download the detailed course content for Scratch and Artificial Intelligence for ages 9-11 yrs,click here!

While pursuing Data Science, students will explore and understand different types of data and their real-life applications. They will be introduced to the working of Google Sheets and will learn how to run basic math operations to analyze data and represent it using different types of charts and infographics. During the data analysis module, they will learn the Python Pandas library commands to read data from the CSV file and create data frames to analyze data.

To download the detailed course content for Data Science for ages 9-11 yrs, click here! 

AGE 12 TO 15 YEARS (EARLY ACHIEVERS COURSE)

We offer one of the best AI and ML courses that make the students get introduced to the world of Artificial Intelligence. They will get a chance to experiment with various AI experiments and understand the power of AI. They then create voice, image, and text recognition projects using teachable machines and Scratch. Following this, they use the CV2 library of Python to explore how computers visualize images and manipulate images.

To download the detailed course content for ages 12-15 yrs, click here!

As students pursue the Data Scientist course, they will explore and understand different types of data and their real-life applications. Data analysis will be taught using the Python Numpy module and Google Sheets. Students will learn how to create data frames using Python Panda’s commands. With Pandas, students will read and analyze CSV files using data frames. Matplotlib is a Python library that helps students visualize data visually.

To download the detailed course content for Data Science in Python for ages 12-15 yrs,click here!

MORE THAN 15 YEARS (YOUNG PROFESSIONALS COURSE)

Our AI ML courses online that are meant for the “Young Professionals”  begins with a discussion of what AI is and then explore its applications, limitations, biases, ethics, and future. Upon taking the AI Full Course students will gain an understanding of AI terms like supervised learning, unsupervised learning, deep learning, and neural networks.

To download the detailed AI and Machine Learning Course Content for ages 15+ yrs, click here!

In the Data Science course, students will learn about different types of data and their real-life applications. Analyzing data will be done using Numpy, a Python module. Dataframes will be created using Python Panda library commands. By using Pandas, students will learn how to read data from CSV files and analyze data with data frames. Data will be visually represented using the Python Matplotlib library.

To download the detailed Data Science – Python for Young Professionals(YP) course content for ages 15+ yrs,click here!

Course Duration & Certificate

PurpleTutor has designed a 30 sessions Artificial Intelligence Machine Learning course for “LIL CHAMPS” whose ages can be between 6 to 9. Each session is one hour long and they conclude by creating Scratch projects using machine learning models that recognize text, voice, and image commands. Students will be awarded a certificate at the end of the AI and ML course.
 
We have designed the best Data Science and Machine Learning course for “YOUNG LEARNERS” who fall under the age group of 10 and 11. The Artificial Intelligence course will be taught in 50 sessions, each lasting one hour.  Upon concluding students receive an Artificial Intelligence certificate. Introduction to Data Science for Young Learners comprises 30 one-hour sessions.
 
Students between the ages of 12 and 14 can enroll in the Data Science and Machine Learning course for “EARLY ACHIEVERS”. The Machine Learning and AI course consists of 40 sessions lasting 40 hours in total. We will award a certificate of completion to the student at the end of our online Artificial Intelligence certificate course.
 
The Data Science and Machine Learning course is designed for the “YOUNG PROFESSIONALS” who are 15 years old and above. This 14-session Artificial Intelligence Online Course begins with a discussion of what AI is and then explores its applications, limitations, biases, ethics, and future. Each session will be for one hour and at the end of 14 hours students will gain an understanding of AI terms like supervised learning, unsupervised learning, deep learning, and neural networks. The Data Science with Python for Young Professionals course consists of 45 sessions of one hour each, making the total duration of this course 45 hours.

Requirements for the Course

To take our Data Science and Machine Learning Course,

• There are no coding prerequisites for Artificial Intelligence and Machine Learning, as the course will start with the very basics before moving on to the core concepts. 
• Students are expected to know the basics of Python Programming before starting with Data Science.
• It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our AI and Data Science courses online.

Frequently Asked Questions (FAQs)

1. Is there a free demo class?
A: Yes. We give one free demo class, which can be booked from the booking link. We encourage you to take the class and assess the experience.

2. Is the ML & AI course schedule flexible?

A: The courses are flexible. You can select any time and any day that works around the student’s schedules.

3. How do I know whether Data Science and Machine Learning course is right for any student? 
A: The teachers assess the level of the student in the demo class based on which the course is suggested.

4. Will the student receive a certificate for the Data Science and Machine Learning course?
A: Students get certificates after completion of each course. The certificate recognizes the skills the student learned and the level of mastery achieved.

5. What do you require to enroll in the Data Science and Machine Learning course from PurpleTutor?
A: You need a laptop/computer with a webcam and a stable internet connection. There are no coding prerequisites to start with Artificial Intelligence. We recommend students take our Python courses before starting with Data Science.

6. What level will any student reach in coding after completing the Data Science and Machine Learning course?
A: Students learn everything about Artificial Intelligence during the course like machine learning, computer vision, natural language processing, text recognition, voice recognition, and image recognition. According to the Data Science and Machine Learning course that they have undertaken, they will learn as per the curriculum.

7. What are the courses that PurpleTutor offers?
A: PurpleTutor provides Cutting edge courses to make the student’s future ready. We have courses like – Python, Web Development, Machine Learning and Artificial Intelligence Courses, Cyber Security, Roblox Games & many more on offer. Please visit our courses section for more information or talk to a counsellor. We encourage you to book a complimentary class with us, enjoy & assess the in-class experience. One can also discuss courses with our teachers in-person too during the class too.

What is the ideal course content of an Introduction to Python Course?

An Introduction to Python Course is a beginner-level course that teaches the basics of the Python programming language. The ideal Python course content of such a course can vary depending on the target audience and the course’s goals. However, a typical Python course content should include :

Introduction to programming concepts: Basic programming concepts such as variables, data types, control structures, and functions are essential to learning any programming language, including Python. The Python course content should provide a thorough introduction to these concepts.

Syntax and semantics of Python: The Python course content should cover the fundamental syntax and semantics of Python, including operators, expressions, and statements.

Data Structures: Introduction to the most important data structures in Python, such as lists, tuples, and dictionaries, and how to manipulate them, is mandatory in the Python course content.

Input/output operations: Through the Python course content, students should learn how to write code that interacts with the user. They should learn how to read and write data from files using Python’s input/output operations.

Standard library: Python has a vast standard library with many built-in modules that students should learn about, such as math, random, and datetime.

Debugging and testing: Students should learn how to debug and test their Python code to catch and fix errors.

Project-based learning: The Python course content should be comprehensive enough to include hands-on projects that give students real-world experience and apply the concepts they’ve learned.
PurpleTutor offers an exciting range of introductory Python courses, customized for different age groups. The Python course content of our courses will provide students with a solid foundation in Python’s fundamental concepts, syntax, and semantics, as well as practical experience in using Python to solve problems.

Which Introduction to Python courses does PurpleTutor conduct online?

PurpleTutor conducts online sessions for the following Introduction to Python courses. The Python course content of each course differs according to the age of the student.

Courses are available across age groups as below:

1. Age group 9 – 11 years 
2. Age group 12 – 15 years 
3. Age group 15+ years 

In the first 2 categories – Ages 9-11 yrs and Ages 12-15 yrs, students begin their Python journey by learning basic Python using the Python Turtle library. This Python course content teaches students core programming concepts of Python and also focuses on developing their problem-solving and algorithm-building skills.

The Introduction to Python course will introduce these concepts to students:

• how to write code for creating pictures in Turtle, using the coordinate system.
• to understand and use loops, conditionals, and functions.

After completion of the basic level course, students move to the second course which is the advanced-level course.

The advanced-level Python course content will teach students how to 

• create and manage data structures like string, list, dictionary, set, and tuple
• generate and apply random numbers for making game projects
• create GUI-Graphical User Interface projects with Tkinter. (For EA course)

The third category of our Python programming courses – for Ages 15+ years – is the Core Python Programming course.

The Core Python course content has been designed for senior students. In this course we cover the following topics:

• Basic syntax and data types in Python
• Control structures such as loops and conditionals
• Functions and modules
• Exception handling
• Simple and advanced data structures such as list, dictionary, set, tuple, stack, and queue
• Sort algorithms such as Bubble Sort, Insertion Sort, and Selection Sort
• Search algorithms such as Linear Search, and Binary Search

To get a glimpse of what the student will learn, check out one of our videos on Python basics for beginners – 

What makes our course special?

The Python course content of our Introduction to Python courses makes them special and students will benefit in several ways by enrolling in any of our introductory Python courses. For example – 
Interactive learning: PurpleTutor Python course content provides interactive learning resources that allow students to engage with the material actively. The platform includes practice exercises, quizzes, simulations and projects that enable students to apply what they’ve learned and reinforce their understanding.

Personalized learning with experienced instructors: The course instructors are experienced in teaching Python and have in-depth knowledge of the language. Through the Python course content, the instructors assist students with personalized guidance, answer questions, and also provide feedback on their assignments to ensure that students learn the concepts effectively.

Comprehensive progress tracking: PurpleTutor provides a comprehensive progress tracking system that allows students, teachers, and parents to monitor their progress. This is done through regular assessments and reports. Students can track their learning progress and identify areas where they need more practice, while teachers can track their student’s progress and provide feedback accordingly.

Course Content

PurpleTutor has Python programming courses for these 3 age groups –

1. Age Group 9 to 11 Years – Young Learners Course (YL)
2. Age Group 12 to 15 Years – Early Achievers Course (EA)
3. Age Group 15+ years – Young Professionals Course (YP)

The details of each course are as under:

Age Group 9 to 11 Years – Young Learners Course (YL) 

This course is divided into 2 parts. 

The first part is Introduction to Python programming course.  This Is a Python beginner course. This Python course content introduces kids to the problem-solving and language basics they need to write simple programs and build small projects of their own. The course consists of 20 sessions(20 hours) 

You can explore the Introduction to Python programming course content for students in the age group of 9-11 yrs here –

Age Group 9 to 11 Years – Young Learners Course (YL) 

Basic level course – 20 sessions

To download the detailed Introduction to Python programming content for Ages 9-11 years, click here!
 
The second course is the Advanced Python Programming course. This course builds on these basic tools and progresses to advanced topics, the projects increase in complexity, along with the child’s expertise and understanding of the language. The Python course content spans 30 sessions (30 hours).

You can explore the Advanced Python Programming course content for the Ages 9-11 yrs course here –
Age Group 9 to 11 Years – Young Learners Course (YL)
Advanced level course – 30 sessions

To download the detailed Advanced Python Programming course content for Ages 9-11 years, click here!

Age Group 12 to 15 Years – Early Achievers Course (EA) 

This course is split into 2 courses.
The first course (basic level) is the Introduction to Python programming course. This Is a Python course for beginners. This Python course content enables the child to learn basic Python. It introduces kids to the core programming concepts which they use to write code and create exciting projects of their own. The course consists of 20 sessions (20 hours) 

You can explore the Python course content for the Introduction to Python programming course for Ages 12-15 years, here –
Age Group 12 to 15 Years – Early Achievers Course (EA)
Basic level course – 20 sessions

To download the detailed Introduction to Python programming course content for Ages 12-15 years, click here!
 
The second course is for students in the age group of 12-15 years. This is the Advanced Python Programming course. The Python course content of this course takes the learning forward to advanced topics. Students gain the expertise to build more and more complex projects, at the same time honing their coding skills and understanding of the language. The course consists of 30 sessions(30 hours) 
You can explore the Advanced Python Programming course content for Ages 12-15 years, here –
Age Group 12 to 14 Years – Early Achievers Course (EA) 
Advanced level course – 30 sessions

To download the detailed Advanced Python Programming course content for Ages 12-15 years, click here!

Age Group 15+ years – Young Professionals Course (YP)

This core Python programming course teaches the core concepts and then moves to advanced topics. The course consists of 40 sessions (40 hours)
You can explore the Python course content for students of Ages 15+ years here
Age Group 15+Years – Young Professionals Course (YP)
Advanced level course – 40 sessions

To download the detailed Python course content for Ages 15+ years, click here!

Course Duration & Certificate

Course Duration – The total duration of the entire course for Ages 9-11 yrs and 12-15 yrs is 50 hours. The Python course content for Ages 15+ yrs spans 40 sessions. Since each session runs for an hour, the total duration is 40 hours.
 
Python certification – A certificate is awarded to the student on completion of the course. The Python certification validates the skills the student learned and their expertise in coding.

Requirements for the course

• Our introductory Python courses start with the very basics before moving on to the core concepts, so students do not need to have any programming knowledge before starting the course.

• Since all our courses are online, students should have a laptop or computer with a webcam and a stable internet connection to attend the Python course.

Frequently Asked Questions (FAQs)

1. Is there a demo class?
A: Yes, we provide a demo tutorial session. We encourage you to take the class and assess the experience.

2. Is the demo session free of cost?
A:  Yes, the demo class is free.

3. How can I book the free demo class?
A: You can book the free class from the booking link.

4. What are the days/timing of the Python course?
A: The days and timing of our Python course are flexible. Any time and any day that fits into the student’s schedule can be selected.

5. What is the duration of the Python course?
A: For the Age group of 10-11 yrs and Age group of 12-14 yrs,  Python programming courses consist of 50 hours each. The Core Python course for Ages 15 years+ consists of 40 hours.

6. Can a student understand the Python course easily?
A: Our Python course content explains concepts with clarity so that even young learners can understand and learn Python Programming easily. Also, Python is a programmer-friendly language, and it is not difficult to learn Python.

7. What about Python certification? Will the student receive a certificate on completion of the Python course?
A: The student will get a certificate after completion of the course. The Python certification recognizes the skills the student learned, and the level of mastery achieved.

8. What does a student need to know before starting the Python training from PurpleTutor?
A: The student simply needs a laptop/computer with a webcam and a stable internet connection, to learn Python with us.

9. Will a student be able to code independently after completion of this course?
A: Yes. Our Python programming courses are designed to build confidence in Python coding by encouraging the student to make projects and games on their own. 

10. What are the courses that PurpleTutor offers?
A: PurpleTutor provides Cutting edge courses to make the student’s future ready. We have courses like – Python, Web Development, Machine Learning and Artificial Intelligence Courses, Cyber Security, Roblox Games & many more on offer. Please visit our courses section for more information or talk to a counsellor. We encourage you to book a complimentary class with us, enjoy & assess the in-class experience. One can also discuss courses with our teachers in-person too during the class too.

What is a Python for Data Science tutorial?

Python is a popular programming language that is widely used in data science. It offers a variety of tools and libraries that make it easier to perform data analysis, visualization, and modeling. A Python for Data Science tutorial covers the basics of how to use Python for data science, such as : 

• Installing and setting up Python for data science – Before you start a Python for data science tutorial, you need to install and set up the necessary tools. The most common way to do this is by downloading and installing the Anaconda distribution. Once you’ve installed Anaconda, you can open up Jupyter Notebook, which is an interactive coding environment that allows you to write, run, and save Python code. In a Python for Data Science tutorial taken online, alternatively, you can use Google Colab Notebooks which is completely cloud-based and includes Python, as well as a variety of Python data science libraries.
• Working with data using Python’s data structures and libraries – Python provides a collection of data structures that make it easy to work with data, including lists, dictionaries, and arrays. A good Python for data science tutorial will teach the student how to work with these data structures. In addition, the Python for data science tutorial should also explore in depth the Python libraries that are specifically designed for data science tasks. 

Some of the most commonly used libraries include: 

NumPy: A library for working with arrays of data.
Pandas: A library for working with data in tables (similar to Excel spreadsheets).
Matplotlib: A library for creating visualizations of data.
Scikit-learn: A library for performing machine learning tasks.

• Data cleaning and preprocessing – Before you can perform any meaningful analysis on your data, you need to clean and preprocess it. A Python for data science tutorial will involve tasks like removing missing values, dealing with outliers, and transforming the data into a format that is suitable for analysis. Pandas provides a variety of functions for doing these tasks, including functions for filling in missing data, removing duplicates, and transforming data.
• Data visualization with Python –  Visualizing data is an important part of data science, as it allows you to gain insights into your data that might not be apparent from just looking at the raw numbers. Python for data science tutorial sessions will teach students the intricacies of Matplotlib, which is a powerful library for creating visualizations in Python.
• Statistical analysis and modeling with Python – Once you’ve cleaned and preprocessed your data and created some visualizations in your Python for data science tutorial classes, you can start performing statistical analysis and building models. 

These are the essential concepts that an introductory Python for data science tutorial should include. In our repertoire of popular courses, PurpleTutor offers the perfect Python for data science tutorial course, which covers all these fundamentals in a straightforward and practical way.

What will you learn in our Python for data science tutorial?

Our Python for data science tutorial explains the fundamentals of data science and demonstrates the application of data science to real-world problems.

We have age appropriate courses across levels. PurpleTutor offers the Python for data science tutorial courses to students falling in these 3 age groups: 

Age group 9-11 years: Young Learners (YL)

In this age-group, students will learn:

• Core concepts of Python 
• Understanding how to create and use Google Sheets for storing and summarizing data.
• Using the Python Pandas library for cleaning,presenting, and managing data, and for data visualization.
• Management of csv files
• Understanding and solving real-world data problems.

The second and third age groups for which we offer the Data Science using Python tutorial courses are as follows:

Age group: 12-15 years Early Achievers (EA) & 15+ years-Young Professionals (YP)

In both the above courses students will –

• Review core concepts of Python, including data types, variables, loops, functions
• Explore the Python libraries which are useful in data analytics such as the math, random, statistics libraries.
• Understand and apply the concepts of Object Oriented Programming.  
• Analyze data using descriptive and inferential statistics.
• Manage files 
• Understand the concept of big data
• Learn how to create and use Google Colab notebooks.
• Perform data handling and cleaning using Pandas and NumPy.
• Perform data visualization using Matplotlib.
• Apply Data pre-processing techniques 
• Solve real-world data problems.

The aim of our Python for data science tutorial courses is to equip students with the skills and knowledge required to perform end-to-end data analysis and modeling tasks.

What are the benefits of opting for our Python for data science tutorial courses?

There are several benefits of opting for our Python for data science tutorial courses including:

• Structured learning: We provide a structured learning experience that covers all the key concepts and tools in Python for data science. This can help you learn more efficiently and effectively than if you were trying to learn on your own.
• Expert guidance: When you take our Python for data science tutorial sessions, you’ll have access to expert instructors who can provide guidance and support as you learn. This can be especially helpful if you’re new to data science or programming in general.
• Hands-on experience: Our Python for data science tutorial classes will provide opportunities for you to apply what you’re learning in practical, hands-on exercises and projects. This can help you develop your skills and build a portfolio of work that can demonstrate your abilities to your peers.
• Credentials: Finally, taking a Python for data science tutorial course from us can provide you with a credential that demonstrates your knowledge and skills in Python for data science. This can be valuable for pursuing further education in the field.

Overall, taking a Python for data science tutorial course from us can provide you with a structured, expert-guided learning experience that can help you develop your skills and build a strong foundation in data science.

Course Content

Our Python for data science tutorial courses have been created specially for students falling in these 3 age groups: 

1. Age group: 9-11 years 

Name of the course : Introduction to Data Science – Young Learners (YL)

While  pursuing the above Python for data science tutorial course, students will explore and understand different types of data and their real life applications. They will be introduced to the working of Google Sheets and will learn how to run basic math operations to analyze data and represent it using different types of charts and infographics. During the data analysis module they will learn the Python Pandas library commands to read data from the CSV file and create dataframes to analyze data.

You can explore the the content for the Data Science – Python course(YL) here –

To download the detailed Introduction to Data Science – Python(YL) course content, click here!

Age group: 12-15 years

Name of the course –Data Science – Python for Early Achievers(EA)

While  pursuing the above Python for data science tutorial course, students will explore and understand different types of data and their real life applications. They will be introduced to the working of Google Sheets and Google Colab Notebooks and will learn how to use the Python Numpy module to analyze data.

Students will explore the Python Panda library commands to create dataframes. Using Pandas, students will learn how to read data from the CSV file and use dataframes to analyze data. 

Students will learn how to visually represent the data using the methods of the Python Matplotlib library. The data is represented using different types of charts.

You can explore the the content for the Data Science – Python course(EA) for ages 12-15 years, here –

To download the detailed Data Science – Python(EA)  course content for ages 12-15 years, click here!

Age group – 15+ years

Name of the course – Data Science – Python for Young Professionals(YP)

Students will explore and understand different types of data and their real life applications, while pursuing the above Python for data science tutorial course. Students will be introduced to the environment of Google Colab Notebooks. They will learn how to create notebooks, write and execute code in the notebooks, and how to interpret the output. They will learn how to use the Python Numpy module to analyze data. Students will explore the Python Panda library commands to create and manage data using dataframes. Students will learn how to read data from the CSV file. Students will visually present the data using the Python Matplotlib library, in the form of plots and charts.

You can explore the content for the Data Science – Python for Young Professionals(YP)

course for ages 15+ years here –

To download the detailed Data Science – Python for Young Professionals(YP) course content for ages 15+ years, click here!

Course Duration and Certificate

The Data Science with Python for Young Learners(YL-9-11 years) course consists of 30 sessions of one hour each, therefore the total duration of this course is : 30 hours.

The Data Science with Python for Early Achievers(EA-12-15 years) course consists of 45 sessions of one hour each, therefore the total duration of this course is : 45 hours.

The Data Science with Python for Young Professionals(YP-15+ years) course consists of 45 sessions of one hour each, therefore the total duration of this course is : 45 hours.
 
On completion of the course, a certificate is given to the student. The certificate recognises the skills the student learnt, and the level of mastery achieved.

Requirements for the Python for data science tutorial course

• Students should know the core Python Programming concepts such as variables, data-types, loops, conditionals, functions. They should be able to write Python code for performing small tasks.
• It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our Data Science using Python course.

Frequently Asked Questions (FAQs)

1. For a student who is interested in enrolling, do you offer a sample of your classes first? 
A: Yes. We give one free demo class, which can be booked from the booking link. We encourage you to take the class and assess the experience.

2. Can I choose my own days and timings for the classes?
A: Yes. The days and timings of the classes are flexible. You can select any time and any day that suits your time-table.

3. How do I know if learning Python for data science is easy?
A: The teachers assess the level of the student in the demo class and then will give the suggestion of whether to go ahead with the course online.

4. Is there any certificate given on completion of the Python for data science tutorial online?
A: The student will get a certificate after completion of the course. The certificate recognises the skills the student learnt, and the level of mastery achieved.

5. What do you require for taking the Python for data science tutorial from PurpleTutor?
A: Knowledge of basic Python concepts is required. It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our Python for data science course online.

6. Do you have assessments during the course?
A. Yes, we assess the student periodically during the progress of the classes and give feedback on the student’s performance.

 7. What are the courses that PurpleTutor offers?
A: PurpleTutor provides Cutting edge courses to make the student’s future ready. We have courses like – Python, Web Development, Machine Learning and Artificial Intelligence Courses, Cyber Security, Roblox Games & many more on offer. Please visit our courses section for more information or talk to a counsellor. We encourage you to book a complimentary class with us, enjoy & assess the in-class experience. One can also discuss courses with our teachers in-person too during the class too.

What are coding challenges? How are they related to coding practice?

Coding challenges are tasks or problems that require a programmer or a student to write code to solve them. They are designed to test the student’s ability to think critically, use algorithms and data structures, and write efficient, bug-free code. Coding challenges can be used by students as a form of coding practice, as they offer an opportunity to apply theoretical knowledge in a practical setting.

Coding challenges are related to coding practice for students in that they provide a way to develop and improve their programming skills. By working on beginner coding challenges, students can learn new programming concepts, build their problem-solving abilities, and develop a strong foundation in programming. Students can also put in varied coding practice with different programming languages, libraries, and frameworks, by solving coding problems.

Students can gain coding practice in different forms, such as a timed online test, a take-home assignment, or an on-site exercise. A computer student needs plenty of coding practice to become proficient in coding, and completing online coding challenges such as online quizzes provide productive coding practice. This is because most online coding challenges provide immediate feedback on the work done. Students can test their solutions and see how well they perform against the problem requirements. They can also see how their code compares to other solutions and learn from other programmers’ approaches.

Coding challenges are also used in coding competitions and hackathons to test the skills of participants and provide a fun and competitive environment for learning. The best computer education schools also use coding challenges in their coding courses, to ensure that their students get sufficient coding practice. 

Our coding courses at PurpleTutor provide valuable online coding practice to students, through interesting and innovative coding challenges. These online coding challenges provide our students with coding practice on the design and development of exciting projects such as apps, games, websites, artificial intelligence and machine learning models, and many more. Please read on to learn more about our coding courses.

What are the courses PurpleTutor offers?

PurpleTutor offers coding courses across the following age groups:

• Ages 6-8 years
• Ages 9-11 years
• Ages 12-15 years
• Ages 15+ years

The coding courses in each age group are given below along with a short summary of what students will learn in each course:

Ages 6-8 years (Little Champs Course)

• BASIC PROGRAMMING CONCEPTS – Understanding basic concepts of programming such as commands, sequencing, algorithm, and code through unplugged activities and puzzles. 
• ADVANCED PROGRAMMING CONCEPTS – Exploration of advanced concepts of programming and how to use them in building personalized projects for visual storytelling and games. 
• BASIC ANDROID APP DEVELOPMENT– These coding classes cover the basics of UI/UX design and developing simple apps, using the Thunkable interface.
• ADVANCE ANDROID APP DEVELOPMENT – Experimenting with the creation of advanced apps such as game apps, quiz apps, etc.  
• SCRATCH AND ARTIFICIAL INTELLIGENCE – Experiencing Scratch programming interface using a movie-making project and a game project. Students are then introduced to the basics of Artificial intelligence and learn how to use the machine learning models to create projects in the Scratch platform.
• SPACE TECHNOLOGY: In these coding classes, students unravel the mysteries of Space by building fascinating games and prototype models based on the concepts of space.

Ages 9-11 Years (Young Learners Course)

• BASIC PROGRAMMING CONCEPTS – Developing an understanding of programming concepts such as commands, sequencing, algorithms, and code through unplugged activities.
• 2D ANIMATION AND GAME DESIGN – Creating beautiful landscapes, and drawings as well as developing animations and interactive games.
• ANDROID APP DEVELOPMENT – Designing UI/UX for simple Android apps using Thunkable.
• ADVANCED ANDROID APP DEVELOPMENT – Experimenting with the creation of advanced apps such as game apps, quiz apps, etc.
• SCRATCH AND ARTIFICIAL INTELLIGENCE – In this coding course, students learn how to use the Scratch programming interface. The coding classes include  movie-making and game projects. Students are then introduced to the basics of Artificial intelligence and learn how to use the machine learning models to create projects in the Scratch platform.
• INTRODUCTION TO PYTHON PROGRAMMING – Learning Python programming using blocks and gradually shifting to text-based programming. Creating drawings and games using Python Turtle Commands
• 3D ANIMATION AND GAME DESIGN – Learning how to create animations and interactive games in a 2d environment using JavaScript. After exploring the basics of game design using Javascript, students get to work in the 3d environment. Students create 3D terrains, model, and complete game design with a scoreboard using LUA Coding in Roblox Studio
• SPACE TECHNOLOGY – Unravel mysteries of Space by building fascinating games and prototype models based on the concepts of space
• WEB DEVELOPMENT AND CYBER SECURITY – In these coding classes, students will create their own website using HTML commands and style it using CSS. The coding classes in this coding course also explore safe techniques to be followed while working on the internet.
• INTRODUCTION TO DATA SCIENCE – Learn how to run basic math operations to analyze data and represent it using different types of charts and infographics. With Python Pandas library commands students will learn to create tables, insert data in them and print them.

Ages 12-15 years (Early Achievers Course)

• 2D ANIMATION AND GAME DESIGN USING JAVASCRIPT – During these coding classes, the students will learn the drawing commands of JavaScript in the block based environment and then learn how to create sprites, manipulate their properties. They will use events to create animations and interactive games.
• INTRODUCTION TO PYTHON PROGRAMMING – During these coding classes the students will learn the basic concepts of Python and code programs using a text-based editor. All programs are written using the Python Turtle library.
• ADVANCED PYTHON PROGRAMMING – Students will explore advanced Python concepts such as data types, type casting, basic data structures like tuples, lists and dictionaries. 
• ARTIFICIAL INTELLIGENCE – Students are introduced  to AI and Machine Learning.They will create voice, image and text recognition projects using teachable machines and Scratch. They then explore deeper into how computers visualize images and create various image and video manipulation projects using the CV2 library of Python. They also create a machine learning model for emotion detection, using Python code.
• ANDROID APP DEVELOPMENT – The students will explore UI/UX design basics, and design and develop simple apps like language translator, text to speech convertor, color mixer etc, using the Thunkable interface.
• WEB DEVELOPMENT – Students will learn how to create webpages using HTML commands and style them using CSS. They will learn how to make websites interactive. Students will make their own personal website that can be hosted on the internet.
• 3D ANIMATION AND GAME DESIGN – Students will learn the basics of 3d designing in the Roblox studio coding classes. They will create 3d objects, scenes, animations and a maze game, using commands of LUA programming script.
• DATA SCIENCE – PYTHON – Students will work with Google Sheets and Forms to collect and store data. They will learn how to use the Python Numpy module to analyze data. Students will explore the Python Panda library commands to create dataframes. They will learn how to read data from the CSV file and how to visually represent the data using Python Matplotlib library. 
• SPACE TECHNOLOGY – Students will learn to build 3D models and simulations of the functionalities, based on the concepts of space and the technology that is used for it. This coding course offers exposure to Tech-driven projects in 3D.

Ages 15+ years(Young Professionals Course)

• PYTHON BASICS – Students will reinforce their knowledge of the core Python programming concepts, during these coding classes. They will get hands-on experience on activities to apply their understanding of basic data types, conditionals, loops, typecasting, basic data types, functions and variables.
• PYTHON DATA STRUCTURES – I – Students will explore advanced data structures of Python namely lists, dictionaries, tuples, strings, stacks and queues. they will be given practice to write code on how to manipulate data in these data structures using python functions.
• PYTHON DATA STRUCTURES – II – Students will learn how to apply Binary and Linear search algorithms for searching elements. They will also learn how to use Insertion and bubble sort algorithms to sort data.
• DATA SCIENCE FUNDAMENTALS WITH PYTHON – Students will learn how to import and use the math, random and statistics Python libraries that are used in Data Science. In these coding classes, they will also learn about Object Oriented Programming and how to apply it.
• DATA SCIENCE WITH PYTHON -Students will learn to apply statistics module functions on data. They will work to organize and manipulate data in arrays, series and data frames using NumPy. They will also explore the Matplotlib library to represent data using different graphs.
• INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING – Students will be introduced to AI and then explore the applications, limitations, biases, ethics and future of AI. They will gain understanding of the basic AI terms such as supervised learning, unsupervised learning, deep learning and neural networks.

How will a student get ample coding practice from our courses?

All our online coding courses include several coding problems and challenges, the solving of which will give ample online coding practice to students. The courses provide coding practice for beginners, and for intermediate and advanced level students as well.  

Here are some of the coding challenges from some of our courses:

Ages 6-8 years (Little Champs Course)

1. Course name – 2D Animation and Game Design

Coding platform – Block-based coding using code.org

• The Bouncing ball game: Bouncing a ball off a moving bar. 
• Chase the coin game: Collecting coins while avoiding enemies.
• Underwater ride game:   Collecting coins underwater while avoiding crabs.
2. Course name – Scratch and Artificial Intelligence

Coding platform – Scratch

• Movie-making project – Creating the movie characters using sprites, making the movie scenes, coding the movie.
• Food game – Finding the food that is good to eat.
• Emotion detector bot – Making an AI model that can classify emotions.
• Smart room – Creating an online smart room, that responds to voice commands.
3. Course name – Space Technology 

Coding platform – Scratch

• Mars Habitat Challenge – Build a Mars colony using Mars resources and adapting to its environment.

Ages 9-11 Years (Young Learners Course)

1. Course name – Android App Development Course

Coding platform – Thunkable

• Simple Calculator app – Making a calculator app for android mobile phones.
• Calculating planet weight – Finding weight on different planets app.
• Doodle app – Creating a doodle app that lets you draw on your phone.
• Fun with spelling app – An app that teaches small children to spell.
2. Course name – Web Development Course

Coding Platform – HTML and CSS in a web browser

• Mon Jeu – Making your own website with audio, video and web picture gallery.
3. Course name – Advanced Python Programming

Coding Platform – Python in replit

• Ninja Turtle Shooter game – A space shooting game
• Table-Tennis game – A 2 player ball game 
4. Course name – 3D Animation and Game Design  

Coding Platform – JavaScript, Lua Coding in Roblox studio

• Developer’s Challenge – Game involving terrain building, character building and animation.

Ages 12-15 years (Early Achievers Course)

1. Course name – Artificial Intelligence and Machine Learning

Coding Platform – Python and Scratch

• Face Detection – Identifying and marking faces in a picture and video.
• Invisibility cloak – Creating the virtual version of Harry Potter’s invisibility cloak.
• PacMan game – Making a machine learning model to play PacMan
2. Course name – Advanced Python Programming

Coding Platform – Python in replit

• Bingo Game – Virtual version of Bingo.
• Who wants to be millionaire – Online version of the popular quiz game.
3. Course name – Space Technology Course

Coding platform – Lua Coding in Roblox studio

• Virtual Rocket – Building a virtual rocket with staging and launching phases.

These are just some of the coding challenges in our courses. We have many more fascinating challenges and projects that will inspire students to innovate and create, gaining invaluable coding practice along the way.  

Course Content, Duration and Certificate

To view the detailed course content for each course, please click on the course name. The number of sessions for each coding course is given in the Duration column. Each session lasts for an hour.

Students will be eligible to get a certificate at the end of each of the given coding courses.

Ages 6-8 years(Little Champs Course)

Age 9-11 years (Young Learners Course)

Ages 12-15 years (Early Achievers Course)

Ages 15+ years(Young Professionals Course)

Course Requirements

• There are no coding prerequisites needed for all our courses except for the Data Science courses. All the courses will start with the very basics before moving on to the core concepts.
• Students should have a laptop or computer with a webcam and a stable internet connection to take our online coding classes.
• To take any of the Data Science coding courses, the student needs to know core Python programming concepts.
• For the 3D Animation and Game Design course and the Space Tech course for the Age group 12-15 years, Please go through Roblox hardware and OS requirements as mentioned here.

Python Tutors

Who is a Python tutor?

A tutor who is knowledgeable and experienced in teaching Python programming can be called a Python tutor. This could be a computer science professor or instructor, a professional software developer, or a private tutor who specializes in teaching Python. An educational institution or academy, dedicated to imparting online or in-person Python language education to its students, can also be called a Python tutor. 

A Python tutor should have a strong understanding of Python syntax, data structures, algorithms, and programming concepts, as well as the ability to explain these concepts clearly and effectively to students. They should also be able to provide hands-on coding exercises and projects to help students practice and reinforce their learning.

PurpleTutor has many experienced, well-qualified & trained Python tutors, and over the years we have successfully taught thousands of students Python programming. We offer a wide range of Python programming courses, tailored to every student category, starting from beginner to intermediate to advanced-level programs of study. We tutor students not just on the core Python programming language concepts, but also provide training on the applications of Python in the key fields of Artificial Intelligence, Machine Learning, and Data Science.  

How can a Python tutor help in learning Python?

A Python tutor can be a valuable resource for learning Python, especially for beginners who are just starting out. Here are some ways that a Python tutor can help students master Python:

• Introduce students to the basics : A Python tutor can guide you through the basics of Python programming, including variables, data types, control structures, functions, and modules. They can explain the fundamental concepts and help you build a solid foundation for more advanced topics.
• Provide personalized instruction : A Python tutor can tailor their instruction to your individual learning needs and goals. They can answer your questions, provide feedback on your code, and offer suggestions for improvement.
• Offer real-world examples : A Python tutor can provide real-world examples and use cases for Python programming, helping you understand how it can be used in practical applications.
• Help with projects and assignments : A Python tutor can help you with specific projects and assignments, providing guidance on how to approach the task and offering feedback on your code.
• Keep you motivated : Learning a new programming language can be challenging and frustrating at times. A Python tutor can provide encouragement and motivation to help you stay focused and continue making progress.

 
Overall, a Python tutor can be a valuable resource for anyone looking to learn Python, whether you’re a beginner or an experienced programmer. They can offer personalized instruction, practical examples, and support to help you achieve your learning goals. 
 
So, if you are searching for the best Python tutor to get started with Python Programming,  you’ve come to the right place. PurpleTutor  has  over the years built a team of tutors that can cater to your needs. You can simply book a trial class with us to experience the same.

Which Python courses are offered by PurpleTutor in its role as an online Python tutor?

In its role as an online Python tutor, PurpleTutor offers these online Python courses that have been categorized according to the age of the child. A short summary of what the student will learn in each course is provided for your reference.

Age 10 to 11 Years (Young Learners Course)

1. INTRODUCTION TO PYTHON PROGRAMMING – Learning Python programming using blocks. Creating drawings and games using Python Turtle Commands
2. ADVANCED PYTHON PROGRAMMING – Students will shift to text-based programming and explore advanced Python concepts such as type casting, string handling, functions, lists, and more. 
3. INTRODUCTION TO DATA SCIENCE – Learn how to run basic math operations to analyze data and represent it using different types of charts and infographics. With Python Pandas library commands students will learn to create tables, insert data in them and print them.  

Ages 12-15 years (Early Achievers Course)

• INTRODUCTION TO PYTHON PROGRAMMING – During these coding classes the students will learn the basic concepts of Python and code programs using a text-based editor. All programs are written using the Python Turtle library.
• ADVANCED PYTHON PROGRAMMING – Students will explore advanced Python concepts such as data types, type casting, and basic data structures like tuples, lists and dictionaries. 
• ARTIFICIAL INTELLIGENCE – Students are introduced to AI and Machine Learning. They will create voice, image, and text recognition projects using teachable machines and Scratch. They then explore deeper into how computers visualize images and create various image and video manipulation projects using the CV2 library of Python. They also create a machine learning model for emotion detection, using Python code.
• DATA SCIENCE – PYTHON – Students will work with Google Sheets and Forms to collect and store data. They will learn how to use the Python Numpy module to analyze data. Students will explore the Python Panda library commands to create dataframes. They will learn how to read data from the CSV file and how to visually represent the data using Python Matplotlib library. 

Ages 15+ years(Young Professionals Course)

1. PYTHON BASICS – Students will reinforce their knowledge of the core Python programming concepts, during these coding classes. They will get hands-on experience in activities to apply their understanding of basic data types, conditionals, loops, typecasting, basic data types, functions, and variables.
2. PYTHON DATA STRUCTURES – Students will explore advanced data structures of Python namely lists, dictionaries, tuples, strings, stacks, and queues. they will be given the practice to write code on how to manipulate data in these data structures using python functions. Students will learn how to apply Binary and Linear search algorithms for searching elements. They will also learn how to use Insertion and bubble sort algorithms to sort data.
3. DATA SCIENCE FUNDAMENTALS WITH PYTHON – Students will learn how to import and use the math, random, and statistics Python libraries that are used in Data Science. In these coding classes, they will also learn about Object Oriented Programming and how to apply it.
4. DATA SCIENCE WITH PYTHON -Students will learn to apply statistics module functions to data. They will work to organize and manipulate data in arrays, series, and data frames using NumPy. They will also explore the Matplotlib library to represent data using different graphs.

To get a glimpse of what your child will learn, check out one of our videos on Python coding for beginners – 

Course Content, Duration and Certificate

To view the detailed course content for each course, please click on the course name. The number of sessions for each coding course is given in the Duration column. Each session lasts for an hour.

Students will be eligible to get a certificate at the end of each of the given coding courses.

Age 9-11 years (Young Learners Course)

Ages 12-15 years(Early Achievers Course)

Ages 15+ years(Young Professionals Course)

Course Requirements

• For the majority of the Python coding courses, there are no coding prerequisites needed, since the course will start with the very basics before moving on to the core concepts.
• It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our online coding classes.
• To take any of the Data Science coding courses, students need to have the knowledge of core Python programming concepts.

Frequently Asked Questions (FAQs)

1. Can I get a demonstration first of an online session?

A: Yes, we provide a demo tutorial session.

2. Is the demo tutorial free of cost?

A:  Yes, the demo is free.

3. How can I book the free demo class?

A: You can book the free class from the booking link.

4. What are the days/timing of the training courses?

A: The days and timing of our training courses are flexible. Any time and any day that fits into your child’s schedule can be selected.

5. What is the core Python full course duration?

A: The core Python full course consists of 50 hours. There are 50 sessions in the Python full course. Each session is of one-hour duration.

6. Can my kid understand and learn Python easily?

A: Our Python training is conducted in a way that even a 7-year-old can understand and learn Python easily. Also, Python is a child-friendly language, and it is not difficult to learn Python.

7. What about Python certification? Will my child receive a certificate on completion of the Python course?

A: Your child will get a certificate after completion of the course. The Python certification recognizes the skills the student learned, and the level of mastery achieved.

8. What does my child need to know before starting the Python training from PurpleTutor?

A: Your child does not need to know any coding prior to starting the Python course. We start the Python programming course from the very basics.  Your child simply needs a laptop/computer with a webcam and a stable internet connection, for learning Python with us.

9. Will my child be able to code independently after completion of the course?

A: Yes. Our Python programming courses are designed to build confidence in Python coding by encouraging your child to make projects and games on their own.

10. What are the courses that PurpleTutor offers?

A: PurpleTutor provides Cutting edge courses to make the student’s future ready. We have courses like – Python, Web Development, Machine Learning and Artificial Intelligence Courses, Cyber Security, Roblox Games & many more on offer. Please visit our courses section for more information or talk to a counsellor. You may also book a complimentary class with us and discuss the same with the teacher in-person too.

What is the significance of computer classes for kids?

For every parent, ensuring that their kids have a good future is a multifaceted process that involves various factors, such as education, personal development, health and wellness, financial planning, and networking. While all these aspects are equally important, it is a fact that education is key to success in today’s world. Kids are encouraged to study and do well in school. Additionally, to achieve the goal of securing their kids’ future, parents also enroll their children in various extra-curricular courses such as music, specialized math, art, dance, and computer classes for kids.

Computer classes for kids are significant for several reasons:

• Digital Awareness: In today’s digital age, computer literacy is essential for children to succeed in their academic and professional lives. Computer classes for kids can help children learn how to use computers and technology effectively, which is crucial for success in the 21st century.
• Career Preparation: As the world becomes more digital, many jobs now require computer skills. By taking computer classes for kids at an early age, children can prepare themselves for future careers in technology or other fields that require digital skills.
• Cognitive Development: Computer classes for kids can help children develop important cognitive skills, such as problem-solving, critical thinking, and decision-making. These skills are essential for success in academic and professional settings.
• Creativity and Innovation: Computer classes for kids can also foster creativity and innovation in children. Through programming, game design, and other activities, children can learn how to use technology to create and express themselves in new and exciting ways.
• Internet Safety: With the rise of the internet, children must learn how to use the internet safely and responsibly. Computer classes for kids can teach children about online safety, privacy, and security, which can help protect them from online threats and risks.

Overall, computer classes for kids are significant for preparing them for the digital world and helping them develop essential skills for success in school and beyond. Remember that every child is unique, and there is no one-size-fits-all approach to ensuring their future success. This is why the right educational program must be selected for the child. We, at PurpleTutor, have carefully designed and developed a wide range of online computer classes for kids, with personalized instruction and attention given to the student, on a one-to-one basis.

Which courses are available in our computer classes for kids?

PurpleTutor offers computer classes for kids falling into the following age groups:

Age group 1 – from 6 to 8 years

Age group 2 – from 9 to 11 years

Age group 3 – from 12 to 15 years

Age group 4 – from 15 years onwards

The details of the computer classes for kids in each age group are given below. 

Age group: 6 to 8 years (Little Champs Course)

• BASIC PROGRAMMING CONCEPTS – Unplugged activities and puzzles are used to demonstrate and build an understanding of the basic concepts of programming such as commands, sequencing, algorithm, and code.
• ADVANCED PROGRAMMING CONCEPTS – Advanced concepts of programming are introduced and explained in these computer classes for kids. These concepts are used by students in building personalized projects and games. 
• BASIC ANDROID APP DEVELOPMENT– The basics of UI/UX design are covered in this course. Students develop simple apps with Thunkable.
• ADVANCE ANDROID APP DEVELOPMENT – Students learn the creation of advanced apps such as game apps, quiz apps, etc.
• SCRATCH AND ARTIFICIAL INTELLIGENCE – Through the Scratch programming interface, students undertake a movie-making project and a game project. The basics of Artificial intelligence are covered. Students then learn how to use the machine learning models to create projects in the Scratch platform.
• SPACE TECHNOLOGY: In these computer classes for kids, students travel virtually to Space by building fascinating games and prototype models based on the concepts of space.

Age group: 9 to 11 years (Young Learners Course)

• BASIC PROGRAMMING CONCEPTS – Building an understanding of programming concepts such as commands, sequencing, algorithms, and code through unplugged activities.
• 2D ANIMATION AND GAME DESIGN – Creating beautiful landscapes, and drawings as well as developing animations and interactive games.
• ANDROID APP DEVELOPMENT – Designing UI/UX for simple Android apps using Thunkable.
• ADVANCED ANDROID APP DEVELOPMENT – Experimenting with the creation of advanced apps such as game apps, quiz apps, etc.
• SCRATCH AND ARTIFICIAL INTELLIGENCE – In this coding course, students learn how to use the Scratch programming interface. The coding classes include  movie-making and game projects. Students are then introduced to the basics of Artificial intelligence and learn how to use the machine learning models to create projects in the Scratch platform.
• INTRODUCTION TO PYTHON PROGRAMMING – Learning Python programming using blocks and gradually shifting to text-based programming. Creating drawings and games using Python Turtle Commands
• 3D ANIMATION AND GAME DESIGN – Learning how to create animations and interactive games in a 2d environment using JavaScript. After exploring the basics of game design using Javascript, students get to work in the 3d environment. Students create 3D terrains, model, and complete game design with a scoreboard using LUA Coding in Roblox Studio
• SPACE TECHNOLOGY – Unravel mysteries of Space by building fascinating games and prototype models based on the concepts of space
• WEB DEVELOPMENT AND CYBER SECURITY – In these coding classes, students will create their own website using HTML commands and style it using CSS. The coding classes in this coding course also explore safe techniques to be followed while working on the internet.
• INTRODUCTION TO DATA SCIENCE –Learn how to run basic math operations to analyze data and represent it using different types of charts and infographics. With Python Pandas library commands students will learn to create tables, insert data in them and print them. 

Age group: 12 to 15 years (Early Achievers Course)

• 2D ANIMATION AND GAME DESIGN USING JAVASCRIPT – During these coding classes, the students will learn the drawing commands of JavaScript in the block-based environment and then learn how to create sprites, and manipulate their properties. They will use events to create animations and interactive games.
• INTRODUCTION TO PYTHON PROGRAMMING – During these coding classes the students will learn the basic concepts of Python and code programs using a text-based editor. All programs are written using the Python Turtle library.
• ADVANCED PYTHON PROGRAMMING – Students will explore advanced Python concepts such as data types, type casting, and basic data structures like tuples, lists, and dictionaries.
• ARTIFICIAL INTELLIGENCE – Students are introduced to AI and Machine Learning. They will create voice, image, and text recognition projects using teachable machines and Scratch. They then explore deeper into how computers visualize images and create various image and video manipulation projects using the CV2 library of Python. They also create a machine learning model for emotion detection, using Python code.
• ANDROID APP DEVELOPMENT – The students will explore UI/UX design basics, and design and develop simple apps like language translator, text-to-speech converter, color mixer, etc, using the Thunkable interface.
• WEB DEVELOPMENT – Students will learn how to create webpages using HTML commands and style them using CSS. They will learn how to make websites interactive. Students will make their own personal websites that can be hosted on the internet.
• 3D ANIMATION AND GAME DESIGN – Students will learn the basics of 3d designing in the Roblox studio coding classes. They will create 3d objects, scenes, animations, and a maze game, using commands of the LUA programming script.
• DATA SCIENCE – PYTHON – Students will work with Google Sheets and Forms to collect and store data. They will learn how to use the Python Numpy module to analyze data. Students will explore the Python Panda library commands to create dataframes. They will learn how to read data from the CSV file and how to visually represent the data using the Python Matplotlib library. 
• SPACE TECHNOLOGY – Students will learn to build 3D models and simulations of the functionalities, based on the concepts of space and the technology that is used for it. This coding course offers exposure to Tech-driven projects in 3D.

Age group: 15 years onwards (Young Professionals Course)

• PYTHON BASICS – Students will reinforce their knowledge of the core Python programming concepts, during these coding classes. They will get hands-on experience in activities to apply their understanding of basic data types, conditionals, loops, typecasting, basic data types, functions, and variables.
• PYTHON DATA STRUCTURES – I – Students will explore advanced data structures of Python namely lists, dictionaries, tuples, strings, stacks, and queues. they will be given the practice to write code on how to manipulate data in these data structures using python functions.
• PYTHON DATA STRUCTURES – II – Students will learn how to apply Binary and Linear search algorithms for searching elements. They will also learn how to use Insertion and bubble sort algorithms to sort data.
• DATA SCIENCE FUNDAMENTALS WITH PYTHON – Students will learn how to import and use the math, random, and statistics Python libraries that are used in Data Science. In these coding classes, they will also learn about Object Oriented Programming and how to apply it.
• DATA SCIENCE WITH PYTHON -Students will learn to apply statistics module functions to data. They will work to organize and manipulate data in arrays, series, and data frames using NumPy. They will also explore the Matplotlib library to represent data using different graphs.
• INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING – Students will be introduced to AI and then explore the applications, limitations, biases, ethics, and future of AI. They will gain an understanding of the basic AI terms such as supervised learning, unsupervised learning, deep learning, and neural networks.

How will kids benefit by enrolling in our computer classes for kids?

Our computer classes for kids have been created keeping the interests and learning capacities of different ages in mind. The students of these computer classes for kids courses will benefit in several ways as follows –

• Our computer classes for kids are packed with fun-filled activities, games, and projects, which demonstrate and reinforce the concepts covered. This will keep the younger students engaged and wanting to learn more. 
• Our advanced courses for the older age groups explain complex concepts practically and understandably. Students are encouraged to undertake comprehensive and challenging assignments and projects. The successful completion of these will give the older kids the motivation and interest to take their learning forward and explore the latest trends in technology.
• The ease and efficiency of taking our online computer classes from home are incomparable. It saves the time and energy of students, who can then utilize the time and energy saved in other productive activities.
• PurpleTutor has a dedicated and professional team of expert tutors who interact with their students on a one-to-one basis, and who are always ready to guide their students at any and every stage of our computer classes for kids.

Course Content, Duration and Certificate

To view the detailed course content for each course, please click on the course name. The number of sessions for each coding course is given in the Duration column. Each session lasts for an hour.

Students will be eligible to get a certificate at the end of each of the given coding courses.

Ages 6-8 years (Little Champs Course)

Age 9-11 years (Young Learners Course)

Ages 12-15 years (Early Achievers Course)

Ages 15+ years (Young Professionals Course)

Course Requirements

• Most of the computer classes for kids courses do not need the student to have any coding knowledge before starting the course. The basic concepts are covered at the start of the course, before moving on to advanced topics.
• Students should have a laptop or computer with a webcam and a stable internet connection to take our online computer classes for kids.
• For the Data Science coding courses, the student needs to have knowledge of core Python programming concepts.
• To enroll in the 3D Animation and Game Design course and the Space Tech course for Age group 12-15 years, the Roblox hardware and OS requirements are mentioned here.

Frequently Asked Questions (FAQs)

1. Does PurpleTutor give a free demo class to the student?

A: Yes. We offer one free demo class which can be booked from the booking link.

2. What are the days and timings of the computer classes for kids courses?

A: The days and timings of the online classes are flexible. Any time and any day convenient to the student, can be selected.

3. How do I know if a student can follow and keep up with the content covered?

A: The teacher will give the suggestion of whether to go ahead with the online computer classes for kids course, after assessing the level of the student in the demo class.

4. Do you give a certificate on completion of the online coding course?

A: Yes. A certificate is awarded to the student on completion of the coding course.

5. What do you require for learning coding from PurpleTutor?

A: Students should have a laptop or computer with a webcam and a stable internet connection to take our online computer classes for kids.

• For the Data Science coding courses, the student needs to have knowledge of core Python programming concepts.
• For the other courses, the student does not need any prior coding knowledge.
• To enrol in the 3D Animation and Game Design course and the Space Tech course for Age group 12-15 years, the Roblox hardware and OS requirements

  are mentioned here.

6. Do you assess the students during the computer classes for kids course?

A. Yes, students are assessed at regular intervals as the course progresses. The relevant feedback is provided to the students regarding their performance.

7. What are the courses that PurpleTutor offers?

A: PurpleTutor provides Cutting edge courses to make the student’s future ready. We have courses like – Python, Web Development, Machine Learning and Artificial Intelligence Courses, Cyber Security, Roblox Games & many more on offer. Please visit our courses section for more information or talk to a counsellor. You may also book a complimentary class with us and discuss the same with the teacher in-person too.

What is Game Development?

The process of designing, developing, and releasing a game is referred to as Game Development. This process may involve concept generation, design, development, testing, and release. When creating a game, it is important to think about the mechanics, rewards, and levels. Python, Lua, JavaScript, and C# are some of the best programming languages that are used in game development. There is a great demand for video game developers as the industry is highly evolving to a new extent. Career opportunities are available even in non-game companies where content creation is a part of ad campaigns, television series, films, and even more. If you are interested in creating your own games but don’t know where to start, PurpleTutor’s game development courses can help you get started in 2D and 3D game development using the popular platforms Code.org and Roblox.

In the context of game development, Code.org offers courses that teach students how to create simple 2D games using the programming language JavaScript. Roblox, on the other hand, is a platform that allows users to create and play games in a virtual world. With Roblox, users can build their own 3D game environments and add gameplay mechanics using Lua, a popular scripting language.

PurpleTutor’s game development courses offer a comprehensive introduction to game development in both 2D and 3D. By using both Code.org and Roblox, our game courses provide students with a solid foundation in programming concepts and game development skills that can be applied to other game development platforms as well.

What will you learn in the gaming course?

In a gaming course with PurpleTutor, you can expect to learn a range of skills related to game development. Here are some of the things you may learn in a typical gaming course:

• Game Design: You will learn about the principles of game design, including mechanics, dynamics, and aesthetics. You will also learn how to create game concepts, write game design documents, and create storyboards.
• Game Engines: You will learn about different game engines and how they work. You will also learn how to choose the right engine for your project and how to use it to create games.
• Programming: You will learn how to program games using languages such as JavaScript and Lua. You will learn how to use variables, loops, conditionals, functions, and objects to create gameplay mechanics and game logic.
• Graphics:  You will learn how to create sprites, backgrounds, animations, and user interfaces.
• Sound and Music: You will learn how to add sound effects and music for your games. You will also learn how to integrate them into your game using game engines and programming languages.
• Testing and Debugging: You will learn how to test and debug your games to ensure they work as intended.

Overall, a gaming course with PurpleTutor will provide you with a comprehensive education through game development courses, covering all aspects of the game development process from design to testing. You will learn the skills and knowledge you need to create your own games and bring your ideas to life.

PurpleTutor has age-appropriate course for Game Development courses that are available as follows:

• Age 9 to 11 Years (Young Learners Course)

  Game Development Course for this group of students will start with learning how to create animations and interactive games in a 2d environment using JavaScript. After exploring the basics of game design using Javascript, students will graduate to work in a 3d environment. The Gaming course ends with students creating an Obstacle game, Maze game, and Adventure game with added sound and light effects. 

• Age 12 to 15 Years (Early Achievers Course)

  During our Gaming Course, the students will start with 2D Animation basics and then learn the basics of 3D designing in the Roblox studio. Their skills will include creating 3D scenes and objects with sound and visual effects. They will also learn the basic commands of the LUA programming script to create different animations. The course comes to end with the students completing an Obstacle game with various levels, a Maze game with a scoreboard, and an Adventure Game.

Benefits of Game Development

There are many benefits to taking a game development course with PurpleTutor that utilizes Code.org Game Lab and Roblox. Here are some of the key benefits:

1. Learn the fundamentals: Our courses provide a solid foundation in game development and programming concepts. You will learn the basics of game design, programming, graphics, and sound, which will allow you to create your own games from scratch.
2. Hands-on learning: Our courses are designed to be hands-on and project-based. You will learn by doing, creating games from start to finish using Code.org’s Game Lab and Roblox. This approach helps you to retain information better and develop a deeper understanding of the concepts.
3. No prior experience necessary: Our courses are designed for beginners with no prior experience in game development or programming. We start with the basics and build from there, ensuring that all students have the opportunity to learn and succeed.
4. Accessible: Code.org Game Lab and Roblox are both free and accessible platforms that anyone can use. This means that you can continue to develop your skills even after the course has ended.
5. Creative freedom: Our courses encourage creativity and experimentation. You will have the freedom to create games that reflect your interests and ideas, and you will learn how to bring those ideas to life through programming and design.

In conclusion, taking a game development course with PurpleTutor that uses Code.org Game Lab and Roblox can provide you with a solid foundation in game development, help you develop your creative and technical skills, and build a portfolio of games that you can showcase to potential employers or clients. Sign up today to start your journey in game development!

Course Content

AGE 9 TO 11 YEARS (YOUNG LEARNERS COURSE)

The course begins with a study of 2D game development using Javascript, and students will graduate to work with 3D game design. They will then proceed to learn how to add objects and non-playing characters to your game, keep score, change game objects with scripts, and generate their own terrains.

To download the detailed course content for ages 9-11 yrs, click here!

AGE 12 TO 15 YEARS (EARLY ACHIEVERS COURSE)

During these Gaming courses, the students will learn the basics of 3d designing in the Roblox studio. They will learn to create 3d objects and scenes. Our Game courses will also cover how to add objects and non-playing characters to your game, keep score, change game objects with  Lua scripts, and generate your own terrains. During the Gaming course, students will create many games including adventure games, and publish them. They will be architects for their Dream House.

To download the detailed course content for ages 12-15 yrs, click here!

Course Accessibility, Duration & Certificate

PurpleTutor offers 60 sessions of the Game Development course in Roblox for “YOUNG LEARNERS”, who fall under the age group of 9 and 11. In the first 20 sessions, kids will learn how to create animations and interactive games in a 2D environment using JavaScript. After exploring the basics of game design using JavaScript, students will graduate to work in a 3D environment. From the 21st session, students will learn how to create a game using Roblox Studio. The course comes to end with the students completing an Obstacle game with various levels, a Maze game with a scoreboard, and an Adventure Game. We will award a certificate of completion to the student at the end of our Roblox Programming Class.

Students between the ages of 12 and 15 can enroll in our Game Development Course, meant for “EARLY ACHIEVERS”. The course duration is 60 sessions each running for one hour. The first 20 sessions will teach kids JavaScript skills for creating animations and interactive games in 2D. Students will explore the basics of game development using JavaScript before moving on to 3D. Students will learn how to create a game using Roblox Studio starting in the 21st session. The course concludes with the students completing Obstacles, Mazes, and Adventures games

At the end of our Game Development Course, students will receive a certificate of completion.

Requirements for the Course 

To take our Gaming course, students do not need to have any coding knowledge. 

• There are no coding prerequisites since the gaming course will start with the very basics before moving on to the core concepts.
• It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our online 2D or 3D Game Courses.

Please go through Roblox hardware and OS requirements as mentioned here.