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Feb 28, 2024

7 Free Harvard University Courses That Will Expand Your Skills

 7 Free Harvard University Courses That Will Expand Your Skills

by webdesk

Feb 28, 2024

Do you want to improve in 2024? Maybe you want to learn more about computer science and see what the hype is about the tech world. Maybe learn the most popular programming language Python? Or moving into something more specialized, like gaming or cyber security.

7 Free Harvard University Courses
7 Free Harvard University Courses

In this blog, I'm going to go through X FREE courses with Harvard University to jumpstart your tech career!

Introduction to computer science

A free 12-week course that can be taken if you commit 6-18 hours per week and introduces you to the intellectual enterprises of computer science and the art of programming. This basic course will teach you how to put on your algorithmic hat and solve problems effectively.

You'll learn about algorithms, data structures, software engineering, and web application development, as well as programming languages ​​like C, Python, SQL, and JavaScript.

Introduction to Artificial Intelligence with Python

A free 7-week course that can be completed if you commit 10-30 hours per week that dives into the concepts and algorithms of modern artificial intelligence. You will learn about various elements of artificial intelligence such as graph search algorithms, probability theory, Bayesian networks, machine learning, reinforcement learning, neural networks and natural language processing.

With hands-on projects and an understanding of this AI theory, you'll be able to incorporate it into your own Python programs.

Data Science: Machine Learning

A free 8-week course that can be completed if you dedicate 2-4 hours per week to learn popular machine learning algorithms, principal component analysis and regularization by building a movie recommendation system. In this course you will learn about training data, predictive relationships through data, how to train algorithms, overtraining and techniques to avoid it.

Learn the basics of machine learning in 8 weeks - or less!

Data Science: Productivity Tools

A free 8-week course that can be taken if you commit to 1-2 hours per week, it guides you through how to keep your data analysis project organized and fun using productivity tools. There are many parts to a data analysis project, so it's important to know these tools to stay on top of the project and avoid problems.

7 Free Harvard University Courses
7 Free Harvard University Courses

Learn to use tools like Unix/Linux to manage files and directories and version control systems like git to track changes to your scripts and builds.

Web programming with Python and JavaScript

The free 12-week course, which can be completed if you commit to 6-9 hours per week, picks up where CS50 leaves off. If you want to enter the technology industry but are more interested in designing and implementing web applications - this foundational course is for you. You will learn about various aspects of web programming such as database design, security and user experience.

With this knowledge, you will then embark on hands-on projects where you will test your knowledge and write and use APIs as well as create interactive UIs.

Introduction to game development

More to play? Look no further, this free 12-week course that can be completed if you dedicate 6-9 hours per week dives into learning about the development of 2D and 3D interactive games such as Super Mario Bros., Pokemon and more. You'll learn about 2D and 3D graphics, animation, sound, and collision detection using popular frameworks as well as languages ​​like Lua and C#.

Program your own game, relive your childhood and learn new skills along the way!

Introduction to Cyber ​​Security

This free 5-week course, which can be completed if you dedicate 2-6 hours per week, provides an introduction to cyber security for both technical and non-technical audiences. In this course, you will learn how to protect your own data, devices and systems from today's threats, as well as be able to recognize and evaluate tomorrow's threats. This course should be essential for everyone as these measures apply both at home and at work.

The missions were inspired by real-world events and provide you with a variety of examples of both high- and low-level threats.

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