📦 #016 - Online Coding Courses in 2025 from Harvard, Stanford and MIT
Discover online tech courses from well-known universities to learn new skills.
Hi, this is Madza! 👋
Welcome to The Sixteenth issue of The Developer Toolbox!
Nowadays, with so many online courses available, it can be difficult to find ones that teach new skills that might be useful in the tech space.
In this release, I've curated some of the best courses from the world’s leading universities, such as Harvard, Stanford, and MIT.
Whether you're a beginner or an experienced developer, these courses cover topics from Learning to Code to Mastering AI and ML technologies.
To help you get started, I divided everything into categories, provided descriptions, and included direct links. Let’s dive in!
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Harvard Courses
Online CS and programming courses from Harvard University
CS50's Introduction to Computer Science - Learn fundamental programming concepts and computational thinking techniques.
Web Programming with Python and JavaScript - Web development course covering modern frameworks, and full-stack programming.
Introduction to Databases with SQL - Exploration of database management, query design, and data manipulation strategies.
Introduction to Programming with Python - Python fundamentals for diverse computational and analytical applications.
Machine Learning and AI with Python - Learn how to use decision trees, the foundational algorithm for understanding ML and AI concepts.
Data Science: Machine Learning - Build a movie recommendation system and learn one of the most popular data science techniques.
Mobile App Development with React Native - Cross-platform mobile development course teaching JS-based application design and implementation strategies.
Introduction to Game Development - Introductionary game design course exploring 2D and 3D interactive game creation techniques.
Introduction to Cybersecurity - A cybersecurity course teaching comprehensive strategies for protecting digital systems and information.
Stanford Courses
Online CS and technology courses from Stanford University
Computer Science 101 - Foundational computer science course introducing essential programming and computational thinking concepts.
Introduction to the Internet of Things - An overview of IoT technologies, networking, and interconnected digital ecosystem principles.
Machine Learning Specialization - A machine learning course to explore the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
Databases: Relational Databases and SQL - A course to master database design, management, and advanced SQL query techniques.
Introduction to Statistics - Learn how to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts.
Cryptography - A security course exploring encryption techniques, cryptographic protocols, and digital protection strategies.
MIT Courses
Online CS and technology courses from Massachusetts Institute of Technology
Introduction to CS and Programming Using Python - A programming course teaching computational problem-solving using Python and analytical techniques.
Machine Learning with Python - An in-depth course exploring deep learning, linear models, and AI techniques.
Data Analysis: Statistical Modeling - A hands-on introduction to the interplay between statistics and computation for real data analysis.
Probability: The Science of Uncertainty and Data - Learn probabilistic models, including random processes and statistical inference.
Supply Chain Analytics - Explore the methodologies used in supply chain modeling, including statistics, regression, and optimization.
Foundations of Modern Finance - Learn a rigorous framework to understand financial markets delivered with data-driven insights.
Management in Engineering - Analyze challenging real-life business cases that engineering managers face on a variety of topics.
Becoming an Entrepreneur - Learn the business skills and startup mindset needed to embark on your entrepreneurial path.
I really hope these resources provided practical value for you! If so, make sure to connect with me on Twitter and LinkedIn for daily content!
Also, I already have tons of ideas for the upcoming issues, so if you liked the first one make sure to share it with your friends and subscribe below!
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