- http://bigdatauniversity.com – online courses (many are free) introducing Big Data technologies
- SDSC’s Predictive Analytics Center of Excellence (PACE) – on-site (San Diego) courses and events
- https://class.stanford.edu/courses – Courses I took/reviewed and recommend: Statistical Learning, Intro to Databases, Writing in the Sciences, Statistics in Medicine
- https://www.edx.org – Most of the courses are of high quality. Intro to Biology by Eric Lander is a must! Stat2x (by Stanford; three consecutive courses) is very good for refreshing statistics and for those who loves solving stat problems. Worthy a look past and current courses: Learning from Data (Caltech), Intro to Computer Science, Into to Probability. Upcoming courses: Data Analysis for Genomics, Genomic Medicine Gets Personal.
- https://www.udacity.com – high quality courses, promising platform
- https://www.coursera.org – Many-many courses that appear and disappear, past courses are available to those who registered before. Uneven quality and often unpredictable level of difficulty. I took two data science courses and got statements of accomplishment but Statistical Learning from Stanford is much better, while quizzes are easier. The courses I loved: Epigenetic Control of Gene Expression, Modern & Contemporary American Poetry.
- https://www.class-central.com – MOOC aggregator
- Introduction to Computer Science and Programming Using Python (from EdX.org)
- Introduction to Computational Thinking and Data Science (part II, from EdX.org)
- Learn to Program: The Fundamentals by Jennifer Campbell, Paul Gries (coursera.org, past course)
- Learn to Program: Crafting Quality Code by Jennifer Campbell, Paul Gries (part II, coursera.org)
- Introduction to Linux (EdX.org, upcoming, end of 2014)