Online Educational Resources

  • Business Science University: Founded by data science leader and instructor Matt Dancho, this is definitely my favorite and top recommended online data science platform. It’s not free, but the quality of Matt’s programs are top-notch and well worth every dollar. I’ve seen Matt lead workshops at numerous conferences and am currently enrolled his R Shiny course.
  • Udemy: Udemy has become a powerhouse for data science educational material and I’ve taken several Udemy classes to reinforce the programming and analytics training that I received through my masters program. I’ve taken some R, Spark, and Python classes, and really enjoyed Spark and Python for Big Data with PySpark
  • Codecademy: This is one of the best interactive learning platforms that I’ve used - Codecademy offers free (and for pay) coding classes in several programming languages including Python, Java, JavaScript, SQL, and more
  • Super Data Science Courses: I’m a huge fan of Kirill Eremenko’s SuperDataScience, and now they’re offering online introductory courses on their site and via Udemy
  • Kaggle: World’s largest community of data scientists and machine learners, with discussion boards, downloadable datasets, and competitions to reinforce your programming skills with R, Python, etc.
  • Khan Academy: Statistics is critical for any data scientist, and the Khan Academy statistics and probability lessons will provide you with the basics
  • freeCodeCamp’s Best Courses: freeCodeCamp ranks online data science courses on their Medium blog
  • Udacity’s Data Science Nanodegree: I know two people who have taken this course and raved about it, but it requires some understanding of statistics and experience working with data (Udacity has other data science courses that are easier difficulty)
  • Fast.ai: For the more advanced data science students, Fast.ai provides free, high-quality, highly-reviewed machine learning and deep learning courses