MOOCs are free online courses offered by renowned universities.
Anyone can do it, and there are hundreds of them available in the most diverse areas of study.
On this page you can find the MOOCs I completed, organized by area of interest and platform.
Coursera.org
Machine Learning/Data Science
Computing for Data Analysis, Johns Hopkins University, Prof. Roger Peng
Mathematical Biostatistics Bootcamp 1, Johns Hopkins University, Prof. Brian Caffo
Introduction to Data Science, University of Washington, Prof. Bill Howe
Machine Learning, Stanford University, Prof. Andrew Ng
Coding the Matrix: Linear Algebra through CS Applications, Brown University, Prof. Philip Klein
Computational Neuroscience, University of Washington, Profs. Adrienne Fairhall, Rajesh P. N. Rao
General Game Playing, Stanford University, Prof. Michael Genesereth
Mathematical Biostatistics Boot Camp 2, Johns Hopkins University, Prof. Brian Caffo
Neural Networks for Machine Learning, University of Toronto, Prof. Geoffrey Hinton
Probabilistic Graphical Models, Stanford University, Prof. Daphne Koller
Social and Economic Networks: Models and Analysis, Stanford University, Prof. Matthew O. Jackson
Mining Massive Datasets, Stanford University, Profs. Jure Leskovec, Anand Rajaraman, Jeff Ullman
Computational Methods for Data Analysis, University of Washington, Prof. Nathan Kutz
Applied Regression Analysis, Ohio State University, Prof. Stanley Lemeshow
Discrete Optimization, The University of Melbourne, Prof. Pascal Van Hentenryck
Algorithms: Design and Analysis, Part 1, Stanford University, Prof. Tim Roughgarden
Machine Learning Engineering for Production (MLOps) Specialization, DeepLearning.ai, Andrew Ng
Deep Learning Specialization, DeepLearning.ai, Andrew Ng
Economics/Finance/Marketing
Principles of Macroeconomics, University of Melbourne, Prof. Nilss Olekalns
Microeconomics Principles,University of Illinois at Urbana-Champaign, Prof. José J. Vázquez-Cognet
Economics of Money and Banking, Columbia University, Prof. Perry G Mehrling
Introduction to Neuroeconomics: how the brain makes decisions, Higher School of Economics - National Research University, Prof. Vasily Klucharev
EdX/StanfordX/Udacity/Outros
6.00.2x Introduction to Computational Thinking and Data Science, MITx, Profs. Eric Grimson, John Guttag, Ana Bell
Introduction to Theoretical Computer Science, Udacity, Prof. Sebastian Wernicke
Introduction to Artificial Intelligence, Udacity, Profs. Sebastian Thrun, Peter Norvig
15.071x The Analytics Edge, MITx, Profs. Dimitris Bertsimas, Allison O’Hair
Convex Optimization, Stanford University, Prof. Stephen Boyd
Statistical Learning, Stanford University, Profs. Trevor Hastie, Rob Tibshirani
M101P: MongoDB for Developers, MongoDB University, Prof. Andrew Erlichson
Learning from Data, California Institute of Technology, Prof. Yaser S. Abu-Mostafa
Engineering Software as a Service, Part 1, University of California, Berkeley, Profs. Armando Fox, David Patterson
Implementation of Developmental Learning, Université Claude Bernard Lyon 1, Prof. Olivier Georgeon
CS100.1x Introduction to Big Data with Apache Spark, University of California, Berkeley, Prof. Anthony D. Joseph
CS190.1x Scalable Machine Learning, University of California, Berkeley, Prof. Ameet Talwalkar
AcademicTrader.org
Options, Futures, and Other Derivatives, University of Toronto, Prof. John Hull