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.