As inspired by Clare Corthell's Data Science Masters, I'm trying to emulate her but going one step further: actually writing down my progress through this road.
- Free ebooks on ML by the Efy Times
- Jeroen Janssen's Data Science Toolkit
These are the books that I have for this purpose, but I might not read all. They're all distributed by O'Reilly Media when not published by them. It's right now the most centralized resource for Data Science:
- Think Bayes
- Think Complexity
- Think Stats
- Data Science for Business
- Doing Data Science - Straight Talk from the Frontline
- Data Analysis with Open Source Tools
- Designing Data Visualizations
- Mining the Social Web (2nd Edition)
- Programming Collective Intelligence
- Python for Data Analysis
- Social Network Analysis for Startups
Web development
- Treehouse
- Rails Track: Total time of 6 days, 23 uninterrupted hours (if live coding when following)
- Code School
- Nettuts plus amazing Sublime Text 2 tutorial
Data Science
- Washington State University Coursera course on data science
- Udacity's Data Science Track?
