What Is Data Science and AI?

Data Science and Artificial Intelligence are two of the most rapidly growing and in-demand fields in the technology industry today. Artificial intelligence refers to the simulation of human intelligence in machines that are programmed to learn and think like humans, while data science involves the analysis and extraction of insights from large and complex sets of data. According to the World Economic Forum, 58 million jobs will be created in the area of Data Science and Artificial Intelligence by 2025. Due to the amount of data generated today, companies and institutions will continue to demand skilled professionals in these fields. Purple Tutor’s Data science and AI course is an excellent choice for young people who are interested in learning about these exciting and rapidly growing fields.  In this article, we will delve into how PurpleTutor’s Data science and AI course can be useful for the younger generation.

Learning new skills is essential when it comes to expanding your knowledge base. Today’s generation should always be ready to keep their skills at the highest level. Enrolling in an Artificial Intelligence Data Science course will allow them to stay on top of the latest trends in the domain. Data science and AI courses developed by the industry experts from PurpleTutor will help to keep the skills and techniques up-to-date. 

The Artificial Intelligence Data Science course is designed to introduce students to the fundamentals of Artificial Intelligence & Data Science, including the latest trends and developments in these fields. Taking Data Science and AI course can be highly beneficial for the younger generation. It can prepare them for future job prospects, improve their problem-solving and creative thinking skills, help them to develop ethical considerations, and provide a better understanding of the world. Check out this article to learn more about AI and Data Science courses, which are tipped to revolutionize the job market in the future.

What will you learn in the course?

The Data Science and AI course is designed based on the age group and duration. Here are the four 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 AI 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 analyse data, read data from the CSV file, and finally analyse 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 Artificial Intelligence Data Science course online? Check out PurpleTutor’s Artificial Intelligence and Machine Learning free online course for beginners!

Benefits of Data Science and AI

Artificial Intelligence and Data Science have become integral parts of many industries. They have the potential to transform our lives and revolutionize the way we work, learn, and live. The students who take a Data Science and AI course can benefit in several ways such as

• Developing computational thinking skills: Data Science and AI course teach students and younger generations how to break down complex problems into smaller, more manageable pieces, which is a skill called computational thinking. By developing these skills, students can learn how to solve problems in a more structured and systematic way.
• Enhances creativity: Data Science and AI course encourages creative thinking, which can help students to come up with innovative solutions to complex problems. By exploring AI and Data Science, students can develop creative skills that can be applied in a wide range of fields.
• Provides exposure to cutting-edge technology: AI and Data Science course provides students with exposure to cutting-edge technology such as machine learning, neural networks, and deep learning. This exposure can inspire them to pursue careers in technology and be at the forefront of innovation in the future.
• Prepares students for the future job market: As AI and Data Science continue to grow in importance, there will be a growing demand for professionals with skills in these areas. By learning AI and Data Science at a young age, students can be better prepared for the future job market and have a competitive edge in their career paths.
• Improves problem-solving skills: Data Science and AI course require problem-solving skills, which can help students to become better at solving problems in all areas of life. By learning to approach problems systematically and logically, students can improve their decision-making skills and become more confident in their problem-solving abilities.

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, 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,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, 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, 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,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, 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,click here!

Course Accessibility, 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 AI 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 AI 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 Course completion certificate is awarded to Early Achievers upon completion of 45 sessions Data Science Course in Python.
 
The Data Science and AI 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 AI and Data Science course,

• There are no coding prerequisites for Artificial Intelligencand 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. Can I try a free class for coding?

A: Yes. The first demo class is free of charge. You can book the free class from the booking link.

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 AI 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 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 Data Science and 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.

7. What level will any student reach in coding after completing the Data Science and 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 Data Science and AI course that they have undertaken, they will learn as per the curriculum.