Math 158: Linear Models

Linear models is a second course in statistics which extends a basic statistical linear model in many ways. The mathematics in the course moves quickly, and there will also be extended focus on good modeling practices and interpretation.

Math 58B: Introduction to Biostatistics

Introduction to Biostatistics is a first course in statistics focused on topics and data found in the life sciences. No biological background is needed, but interest in the life sciences is important.

Math 154: Computational Statistics

Computational Statistics can be thought of as an advanced data science course. We will work with many different types of data to become fluent in wrangling, visualizing, simulating, modeling, predicting, and most importantly communicating results.

ID1: Statistics in the World

The main idea behind this course is to get the participants (that’s you) to leave in December questioning every number you come across: in the media, at sporting events, when researching for another class, when carrying out your own research, etc.

Math 150: Methods in Biostatistics

Methods in Biostatistics is a second course in statistics focused on topics and data found in the life sciences. No biology background is needed, but interest in the life sciences is important.