CS & Coding
Prerequisites: None.
Recommended path
- Go with Harvard CS50 if you are looking for the most challenging and broad course.
- Go with MIT 6.0001 if you want to focus on learning Python in depth.
- Go with Berkeley 61A if you want to focus on Python but also want to explore schemes and SQL.
Course | Year | Description | Difficulty Level | Resources |
Continuously updated | Harvard CS50 is likely the most well-produced MOOC of all time due to its amazing lectures, fun coding assignments, website, supplementary videos, discussion group and course material. In terms of content, it offers a comprehensive overview of CS (algorithms, data structures, web development etc) and programming languages (C, Python, JavaScript etc). | Easy-Medium | ||
2016 | Since CS50 is the most comprehensive intro course, it is also the most time-consuming. 6.0001 is a great course to learn about similar topics but more focused on practical coding in Python. | Easy | ||
2020 | 6.0001 and 61A have a lot of overlapping content. The main differences are 61A also covers schemes and SQL, and 6.0001 further covers program efficiency, searching and sorting. | Easy |
Resource | Year | Description | Use |
Continuously updated | One of the best places to find videos for intro CS topics. Whether web programming, android development or sorting algorithms, CS50 has tons of high quality playlists. | 🎥 | |
2020 | A complementary course that will help you understand and use various tools that are usually not discussed in CS courses: shell scripting, data wrangling, version control etc. | 🎥 | |
2016 | 6.0002 is a continuation of 6.0001 and is a great introduction to topics in data science and ML with lectures on Monte Carlo simulations, clustering and classification. Compared to other intro ML courses, this course stays at a very high level and is better suited to make someone without prior CS experience comfortable with these concepts. | 🎥 | |
Continuously updated | One of the best places to learning coding. FreeCodeCamp offers various self-paced programs for learning web dev, Python, AWS and more. Its YouTube channel and blog also house an enormous collection of resources on any topic that is CS related. | 🌐 🎥 | |
2015 | Hands-down the best introduction to algorithms and data structures for anyone who has never learned about Linked Lists, Hash Tables, Stacks/Queues and Trees. | 🎥 | |
Continuously updated | One of the best programming YouTube channels, sentdex has a range of content on learning Python (and Machine Learning) videos that will answer all your questions regarding. | 🎥 | |
Continuously updated | Another top YouTube channel for programming content. If you want to learn more about setting up your coding environment, Django and Flask, take a look at his channel. | 🎥 | |
? | This interactive book is a great resource for anyone who wants to learn more about data structures and algorithms in Python. | 📚🤖 | |
? | Another interactive book that lets you learn the basics of Python and gives you clear explanations of the technical concepts behind the programming language. | 📚🤖 |
Last modified 2yr ago