If you want to learn free online courses like Data Science, Computer Science, Programming, Artificial Intelligence, and Game Development, that too for free, then this post is for you let’s see what are the free online courses.
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1. Introduction to Data Science with Python
Data science is a constantly evolving field that uses algorithms and scientific methods to analyze complex data sets. Data scientists use various programming languages, such as Python and R, to manipulate and analyze data. This course focuses on using Python in data science. At the end of the course, you will have a basic understanding of machine learning models and basic concepts around machine learning (ML) and artificial intelligence (AI).
Using Python, students will learn regression models (linear, multilinear, and polynomial) and classification models (kNN, logistic) using popular libraries such as sklearn, pandas, matplotlib, and numPy.
2. Introduction to Computer Science
Students who have satisfactorily completed 9 sets of assignments (e.g. programming assignments) and the final assignments may receive a certificate. This is a self-contained course – you can complete CS50x on your own schedule.
3. Introduction to Programming with Scratch
An introduction to programming with Scratch, a visual programming language that allows aspiring programmers to write code by dragging and dropping graphical blocks (which look like puzzle pieces) instead of typing text. Developed at MIT’s Media Lab at the start of Harvard College’s introductory computer science course, CS50, Scratch enables students with no prior programming experience to design their own animations, games, interactive art, and stories. Using Scratch, this course introduces students to programming fundamentals found not only in Scratch itself but also in traditional text-based languages (such as Java and Python). Topics include: functions, which are statements that perform tasks; returns a value, which is the result returned by the function; Conditions that allow the program to decide whether to perform an action or not; Loops that allow programs to perform actions repeatedly; variables that allow programs to store information; and much more. Ultimately, this course prepares students for the next programming course.
4. Introduction to Artificial Intelligence with Python
Introduction to Artificial Intelligence with Python examines the concepts and algorithms at the heart of modern artificial intelligence and explores the ideas driving technologies such as game engines, handwriting recognition, and machine translation. Through hands-on projects, students learn the theory behind graph search algorithms, classification, optimization, reinforcement learning, artificial intelligence, and other machine learning topics while integrating them into their own Python programs. At the end of the course, students will gain experience with machine learning libraries as well as knowledge of artificial intelligence principles that will enable them to design their own intelligent systems.
5. Introduction to Game Development
In your quest to understand how video games do themselves, you’ll explore children’s game design such as Super Mario Bros., Pong, Flappy Bird, Breakout, Match 3, Legend of Zelda, Angry Birds, Pokemon, 3D Helicopter Games, Dreadhall and portal.
Through lectures and hands-on projects, this course explores the principles of 2D and 3D graphics, animation, sound, and collision detection using frameworks such as Unity and LÖVE 2D, and languages such as Lua and C#. At the end of the course, you will program some of your own games and have a deep understanding of the fundamentals of game design and development.
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6. Computer Science for Business Professionals
An introduction to computer science for business people, designed for managers, product managers, founders, and the average decision-maker. While CS50 itself takes a bottom-up approach, emphasizing mastery of low-level concepts and the details of their implementation, this course takes a top-down approach, emphasizing mastery of high-level concepts and associated design decisions. Through lectures on computational thinking, programming languages, internet technologies, web development, technology stacks, and cloud computing, this course empowers you to make technology decisions even if you are not a technologist. After this course, you will know firsthand how things work and have even more confidence in the factors that should guide your decision-making.
7. Mobile App Development with React Native
This course continues from CS50 and transitions from web development to mobile app development with React Native.
8. Understanding Technology
An introduction to technology for students who don’t (yet) call themselves computer people. This course is designed for those who work with technology every day but don’t necessarily understand how everything works under the hood or how to troubleshoot when something goes wrong. This course fills a void and empowers you to use technology more effectively and solve problems. Through lectures on hardware, internet, multimedia, security, programming, and web development, this course prepares you for today’s technology and the future.
Topics include database design, scalability, security, and user experience. Through hands-on projects, you’ll learn to write and use APIs, create interactive user interfaces, and use cloud services such as GitHub and Heroku. At the end of the course, you will gain knowledge and experience in the principles, languages , and tools that will enable you to design and deploy applications on the Internet.
10. Introduction to Programming with Python
Introduction to programming with a language called Python. Learn how to read, write, test, and “debug” code. Aimed at students with or without programming experience who want to learn Python specifically. Learn about functions, arguments, and return values (oh my god!); variables and types; conditional and boolean expressions; and loops. Learn how to handle exceptions, find and fix errors, and write unit tests. use third-party libraries; validate and retrieve data with regular expressions; model real objects with classes, objects, methods, and properties; and read and write files. Practical opportunities for lots of practice. Exercises inspired by real programming problems. No software other than a web browser is required, or you can write the code on your own PC or Mac.
“If you are not willing to risk the usual, you will have to settle for the ordinary.” – Jim Rohn