└── README.md /README.md: -------------------------------------------------------------------------------- 1 | ## Best MOOCs by HN users 2 | 3 | This is a list of MOOCs with their respective URLs. These were all provided by users of Hacker News: [Ask HN: What are the best MOOCs you've taken?](https://news.ycombinator.com/item?id=16745042). 4 | 5 | - [ ] [A Brief History of Humankind, Yuval Noah Harari, YouTube](https://www.youtube.com/playlist?list=PLfc2WtGuVPdmhYaQjd449k-YeY71fiaFp) 6 | - [ ] [Advanced Operating Systems, Georgia Tech, Udacity](https://www.udacity.com/course/advanced-operating-systems--ud189) 7 | - [ ] [Algorithms, Part I, Princeton University, Coursera](https://www.coursera.org/learn/algorithms-part1) 8 | - [ ] [America's Unwritten Constitution, Akhil Reed Amar, Coursera](https://www.coursera.org/learn/unwritten-constitution) 9 | - [ ] [America's Written Constitution, Akhil Reed Amar, Coursera](https://www.coursera.org/learn/awc) 10 | - [ ] [Artificial Intelligence, BerkeleyX, edX](https://courses.edx.org/courses/BerkeleyX/CS188.1x-4/1T2015/course/) 11 | - [ ] [Astrophysics, Australian National University, edX **Paid](https://www.edx.org/xseries/astrophysics) 12 | - [ ] [Basic Modeling for Discrete Optimization, Coursera](https://www.coursera.org/learn/basic-modeling) 13 | - [ ] [Bitcoin and Cryptocurrency Technologies, Arvind Narayanan, Coursera](https://www.coursera.org/learn/cryptocurrency/) 14 | - [ ] [Buddhism and Modern Psychology, Robert Wright, Coursera](https://www.coursera.org/learn/science-of-meditation) 15 | - [ ] [Build a Modern Computer from First Principles: From Nand to Tetris, Hebrew University of Jerusalem, Coursera](https://www.coursera.org/learn/build-a-computer) 16 | - [ ] [Circuits and Electronics, MIT, edX](https://courses.edx.org/courses/course-v1:MITx+6.002x_6x+1T2015/course/) 17 | - [ ] [Coding the Matrix](http://codingthematrix.com/) 18 | - [ ] [Compilers, Alex Aiken, Stanford](https://lagunita.stanford.edu/courses/Engineering/Compilers/Fall2014/about) 19 | - [ ] [Computational Probability and Inference, edX](https://www.edx.org/course/computational-probability-inference-mitx-6-008-1x) 20 | - [ ] [Computer Networks, David Wetherall, YouTube](https://www.youtube.com/playlist?list=PLfgkuLYEOvGMWvHRgFAcjN_p3Nzbs1t1C) 21 | - [ ] [Cryptography I, Dan Boneh, Coursera](https://www.coursera.org/learn/crypto) 22 | - [ ] [CS50's Introduction to Computer Science, Harvard University, edX](https://www.edx.org/course/cs50s-introduction-computer-science-harvardx-cs50x) 23 | - [ ] [Databases, Jennifer Widom, Stanford](https://cs.stanford.edu/people/widom/DB-mooc.html) 24 | - [ ] [Differential Equations in Action, Udacity](https://www.udacity.com/course/differential-equations-in-action--cs222) 25 | - [ ] [Discrete Optimization, Coursera](https://www.coursera.org/learn/discrete-optimization) 26 | - [ ] [Economics of Money and Banking, Perry G. Mehrling, Coursera](https://www.coursera.org/learn/money-banking) 27 | - [ ] [Essence of Linear Algebra, YouTube](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab) 28 | - [ ] [Ethical Hacking From Scratch, Zaid Sabih, Udemy **Paid](https://www.udemy.com/learn-ethical-hacking-from-scratch/) 29 | - [ ] [European Paintings: From Leonardo to Rembrandt to Goya, edX](https://www.edx.org/course/european-paintings-leonardo-rembrandt-uc3mx-ceh-1-enx) 30 | - [ ] [Fast.AI](http://www.fast.ai/) 31 | - [ ] [Financial Markets, Robert Shiller, Coursera](https://www.coursera.org/learn/financial-markets-global) 32 | - [ ] [First Nights - Handel's Messiah and Baroque Oratorio, Thomas Forrest Kelly, edX](https://www.edx.org/course/first-nights-messiah-harvardx-mus24-2x) 33 | - [ ] [Functional Programming Principles in Scala, Martin Obersky, Coursera](https://www.coursera.org/learn/progfun1) 34 | - [ ] [Human Behavioral Biology, Robert Sapolsky, Stanford](https://www.youtube.com/playlist?list=PL848F2368C90DDC3D) 35 | - [ ] [Influencing People, Coursera](https://www.coursera.org/learn/influencing-people) 36 | - [ ] [Introduction to Biology - The Secret of Life, Eric S. Lander, edX](https://www.edx.org/course/introduction-biology-secret-life-mitx-7-00x-7) 37 | - [ ] [Introduction to Computer Vision, Georgia Tech, Udacity](https://www.udacity.com/course/introduction-to-computer-vision--ud810) 38 | - [ ] [Introduction to Finance, Gautam Kaul, Coursera](https://www.coursera.org/specializations/valuation-investment) 39 | - [ ] [Introduction to Mathematical Thinking, Dr. Keith Devlin, Coursera](https://www.coursera.org/learn/mathematical-thinking) 40 | - [ ] [Introduction to Operating Systems, Georgia Tech, Udacity](https://www.udacity.com/course/introduction-to-operating-systems--ud923) 41 | - [ ] [Introduction to Probability - The Science of Uncertainty, edX](https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2) 42 | - [ ] [Knowledge-Based AI, Georgia Tech, Udacity](https://www.udacity.com/course/knowledge-based-ai-cognitive-systems--ud409) 43 | - [ ] [Learning from Data, Yaser Abu-Mostafa, Caltech](https://work.caltech.edu/telecourse.html) 44 | - [ ] [Learning How to Learn, Coursera](https://www.coursera.org/learn/learning-how-to-learn) 45 | - [ ] [Linear Dynamical Systems, Stephen Boyd, YouTube](https://www.youtube.com/watch?v=bf1264iFr-w&list=PL06960BA52D0DB32B) 46 | - [ ] [Machine Learning, Andrew Ng, Coursera](https://www.coursera.org/learn/machine-learning) 47 | - [ ] [Math, Khan Academy](https://www.khanacademy.org/math) 48 | - [ ] [Model Thinking, Scott E. Page, Coursera](https://www.coursera.org/learn/model-thinking) 49 | - [ ] [Paradigms of Computer Programming - Fundamentals, Peter Van Roy, edX](https://www.edx.org/course/paradigms-computer-programming-louvainx-louv1-1x-2) 50 | - [ ] [Probabilistic Graphical Models, Daphne Koller, Coursera](https://www.coursera.org/specializations/probabilistic-graphical-models) 51 | - [ ] [Programming Languages, Part A, Dan Grossman, Coursera](https://www.coursera.org/learn/programming-languages) 52 | - [ ] [Programming Languages, Part B, Dan Grossman, Coursera](https://www.coursera.org/learn/programming-languages-part-b) 53 | - [ ] [Programming Languages, Part C, Dan Grossman, Coursera](https://www.coursera.org/learn/programming-languages-part-c) 54 | - [ ] [Machine Learning, Andrew Ng, Coursera](https://www.coursera.org/learn/machine-learning) 55 | - [ ] [Quantum Mechanics and Quantum Computation, Umesh Vazirani, edX **Currently not available](https://www.edx.org/course/quantum-mechanics-quantum-computation-uc-berkeleyx-cs-191x) 56 | - [ ] [Reinforcement Learning, Georgia Tech, Udacity](https://www.udacity.com/course/reinforcement-learning--ud600) 57 | - [ ] [Robotics, University of Pennsylvania, Coursera](https://www.coursera.org/specializations/robotics) 58 | - [ ] [Roman Architecture, Diana E.E. Kleiner, Coursera](https://www.coursera.org/learn/roman-architecture) 59 | - [ ] [Russian History: from Lenin to Putin, Peter Kenez, Coursera](https://www.coursera.org/learn/russian-history-lenin-putin) 60 | - [ ] [Songwriting, Pat Pattison, Coursera](https://www.coursera.org/learn/songwriting-lyrics) 61 | - [ ] [Statistical Molecular Thermodynamics, Dr. Christopher J. Cramer, Coursera](https://www.coursera.org/learn/statistical-thermodynamics) 62 | - [ ] [The Analytics Edge, Dimitris Bertsimas, edX](https://www.edx.org/course/analytics-edge-mitx-15-071x-3) 63 | - [ ] [The Ancient Greeks, Andrew Szegedy-Maszak, Coursera](https://www.coursera.org/learn/ancient-greeks) 64 | - [ ] [The Science of Everyday Thinking, The University of Queensland, edX](https://www.edx.org/course/science-everyday-thinking-uqx-think101x-5) 65 | - [ ] [The Theoretical Minimum, Leonard Susskind](http://theoreticalminimum.com/courses) 66 | - [ ] [Think Again I: How to Understand Arguments, Duke University, Coursera](https://www.coursera.org/learn/understanding-arguments) 67 | 68 | --------------------------------------------------------------------------------