Book

Books(Books I personally get back to from time to time in my work. The first four are all hands on with repeatable code. The last one I use when I need to understand the theory):

• R for Marketing Research and Analytics
• Statistical Rethinking (get the 2nd edition which includes new materials on causal diagram)
• Applied Predictive Modeling
• Introduction to Data Science (WIP)
• Trustworthy Online Controlled Experiments (A Practical Guide to A/B Testing)(There is also an online course on it listed below)
• The Elements of Statistical Learning

Online courses

• Deep learning specialization from deeplearning.ai (other deep learning courses from them are also good. But this specialization is just amazing, clear, comprehensive and hands-on!)
• A Crash Course in Causality: Inferring Causal Effects from Observational Data
• Questionnaire Design for Social Surveys (Intro course for survey design from U Michigan)
• Statistical rethinking 2022 course videos (I watched the 2019 videos based on the 2nd edition of the book, it is SO good. I plan to watch all 2022 videos too.)
• A/B testing (this course is not just about the technical methods but also the application context)

Websites:

• Data Scientist: The Sexiest Job of the 21st Century, Oct 2012, Harvard Business Review

• Universities offer courses in a hot new field data science, April 11 2013, New York Times

• Tech role compensation
• Mode SQL tutorial(those are not video but text. I find it very helpful. But if you use SQL daily, the best helper is still Google search…)