The Missing Statistics Semester

Data Science Edition

2026-12-03

The Missing Statistics Sememster

Here is a list of resources to expand on topics not covered in your education.

Adapted from https://missing.csail.mit.edu/

Introduction to Statistics

Statistical Computing

  • Computational Statistics (2009, Springer; Download from CSUCI Library)
  • Basic Elements of Computational Statistics (2017, Springer; Download from CSUCI)
  • Optimization (2013, Springer; Download from CSUCI)

Regression

  • Beyond Linear Regression
  • Regression Modelling Strategies (Download from CSUCI Library)
  • Linear Models
  • Generalized Linear Models With Examples in R (Download from CSUCI Library)
  • Linear and Generalized Linear Mixed Models and Their Applications (2nd Edition) (Download from CSUCI Library)
  • Vector Generalized Linear and Additive Models; Yee (Download from CSUCI Library)

Other Statistics Resources

R Programming

Python Programming

SQL

Shell-Terminal

Git

Markdown

Dashboards

Other Programming