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Resources for Continued Learning

Blogs

  • Simply Statistics: Written by the Biostatistics professors at Johns Hopkins University who also run Coursera's Data Science Specialization
  • yhat's blog: Beginner-friendly content, usually in Python
  • No Free Hunch (Kaggle's blog): Mostly interviews with competition winners, or updates on their competitions
  • FastML: Various machine learning content, often with code
  • Edwin Chen: Infrequently updated, but long and thoughtful pieces
  • FiveThirtyEight: Tons of timely data-related content
  • Machine Learning Mastery: Frequent posts on machine learning, very accessible
  • Data School: Kevin Markham's blog! Beginner-focused, with reference guides and videos
  • MLWave: Detailed posts on Kaggle competitions, by a Kaggle Master
  • Data Science 101: Short, frequent content about all aspects of data science
  • ML in the Valley: Thoughtful pieces by the Director of Analytics at Codecademy

Aggregators

DC Data Groups

Online Classes

Online Content from Offline Classes

Face-to-Face Educational Programs

Conferences

Books

Other Resources