## Statistics and Data Science

- Applied Linear Statistical Models
* M. Kutner, C. Nahtsheim, J. Neter, and W. Li*

Highly recommended for anyone in statistics or data science as a reference or text to learn from. Comprehensive and appropriate for self-study.

- Experiments: Planning, Analysis, and Optimization
* C. Wu and M. Hamada*

Good standard design of experiments text. Full of real case studies. Makes a good reference or self-study text.

- Introduction to Mathematical Statistics
* R. Hogg, J. McKean, and A. Craig*

Standard theoretical statistics text, well written. Good coverage of fundamentals with good proofs, motivations, and exercises.