Fundamentals of data science.
- Probability Theory and Mathematical Statistics at Penn State (Stat 414/415)
- Introduction to the Theory of Random Signals and Noise
- Probability Theory: The Logic of Science by E.T. Jaynes
- Applied Statistics at Penn State (Stat 500)
- Regression Methods at Penn State (Stat 501)
- Statistical Thinking and Data Analysis by Cynthia Rudin
Papers and books that are tractable to the invention of their subject.
- ds-study-group-examples
- Python for Everybody
- Dive into Python (Pdf version here.)
- 10 min to Pandas
- Dataquest tutorial
- Datacamp tutorial
- Data analysis in Python with Pandas: by Kevin Markum. Learn how to use the pandas library for data analysis, manipulation, and visualization. Each video answers a student question using a real dataset, which is available online so you can follow along!