Online Courses

Online education opens up oceans of great, mostly freely available, Data Analytics / Data Science content. Check out the below courses, categorized into:

• Computer Programming
• Databases and Large-Scale Data & Computing Technologies
• General Data Science / Data Analytics
• Data Visualization
• General Machine Learning
• Recommender Systems
• Neural Networks & Deep Learning
• Artificial Intelligence (A.I.) & Robotics
• Natural Language Processing (NLP) & Computer Vision
• Network Analysis
• Mathematical, Numerical & Optimization Methods
• Industry-Specific Analytics

Computer Programming

• CS50 (Free) (Harvard) by David J. Malan
• R [, Introduction to] (Udemy) by Jagannath Rajagopal
• Functional Programming in Scala (Coursera) by Martin Odersky

Databases and Large-Scale Data & Computing Technologies

• SQL School & Analytics Cases by Mode Analytics, Inc.
• SQLzoo
• SQLcourse
• SQLcourse2
• SQL training by W3 Schools

General Data Science / Data Analytics

• Computational Thinking & Data Science [, Introduction to] by MIT
• Data Science [, Introduction to] (Coursera) by Bill Howe of University of Washington
• Data Science Specialization (Coursera) by Brian Caffo, Jeff Leek & Roger Ng of John Hopkins University, consisting of the following courses:
  • Data Scientist's Toolbox
  • R Programming
  • Getting & Cleaning Data
  • Exploratory Data Analysis
  • Reproducible Research
  • Statistical Inference
  • Regression Models
  • Practical Machine Learning
  • Developing Data Products
  • Data Science Capstone Project
• Big Data Specialization by University of California-San Diego (UCSD)
  • Introduction to Big Data
  • Hadoop Platform & Application Framework
  • Introduction to Big Data Analytics
  • Machine Learning with Big Data
  • Graph Analytics for Big Data
• Data Mining Specialization by University of Illinois at Urbana-Champaigne (UIUC)
  • Pattern Discovery in Data Mining
  • Text Retrieval and Search Engines
  • Cluster Analysis in Data Mining
  • Text Mining and Analytics
  • Data Visualization
• Process Mining: Data Science in Action (Coursera) by Wil van der Aalst of Eindhoven University of Technology
• Web Intelligence & Big Data (Coursera) by Gautam Shroff of Indian Institute of Technology, Delhi

General Machine Learning

• Big Data, Large-Scale Machine Learning by John Langford & YannLeCun of New York University
• Learning from Data (edX; or Caltech version) by Yaser Abu-Mostafa of Caltech
• Machine Learning (Coursera; or Stanford version) by Andrew Ng of Standford University, (ex-)Google, Baidu & Coursera
• Machine Learning (Coursera) by Pedro Domingos of University of Washington
• Machine Learning by Ryan Adams of Harvard University
• Machine Learning by Nando de Freitas of University of Oxford
• Machine Learning by Alex Smola of Carnegie Mellon University
• Machine Learning by Tommi Jaakkola of MIT
• Machine Learning by Tom Mitchell of Carnegie Mellon University
• Machine Learning 1: Supervised Learning by Charles Isbell of Georgia Tech & Michael Littman of Brown University
• Statistical Learning by Trevor Hastie & Robert Tibshirani of Stanford University
• Probabilistic Graphical Models (Coursera) by Daphne Koller of Standford University & Coursera
• Scalable Machine Learning (edX) by Ameet Talkawar of University of California-Berkeley & Databricks

Data Visualization

• Visualization by Hanspeter Pfister of Harvard University

Recommender Systems

• Recommender Systems [, Introduction to] (Coursera) by Joseph Konstan & Michael Ekstrand of University of Minnesota

Deep Learning

• Neural Networks for Machine Learning (Coursera) by Goeff Hinton of University of Toronto & Google
• Neural Networks (Youtube; or Université de Sherbrooke version) by Hugo Larochelle of Université de Sherbrooke

Natural Language Processing (NLP) & Computer Vision

• Discrete Inference & Learning in Artificial Vision (Coursera) by Nikos Paragios & Pawan Kumar of École Centrale Paris
• Natural Language Processing (Coursera) by Michael Collins of Columbia University
• Natural Language Processing (Coursera) by Dan Jurafsky & Christopher Manning of Stanford University

Artificial Intelligence (A.I.) & Robotics

• Artificial Intelligence [, Introduction to] (Udacity) by Peter Norvig & Sebastian Thrun of Google
• Artificial Intelligence Planning (Coursera) by Gerhard Wickler & Austin Tate of University of Edinburgh

Network Analysis

• Networked Life (Coursera) by Michael Kearns of University of Pennsylvania
• Social & Economic Networks: Models & Analysis (Coursera) by Matthew Jackson of Stanford University
• Social Network Analysis (Coursera) by Lada Adamic of University of Michigan

Mathematical, Numerical & Optimization Methods

• Computational Methods for Data Analysis (Coursera) by Nathan Kutz of University of Washington
• Discrete Optimization (Coursera) by Pascal van Hentenryck

Industry-Specific Analytics

• Big Data in Education (edX) by Ryan Baker, Elle Yuan Wang & Luc Paquette of Columbia Unversity Teachers College