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.
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.
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.
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.
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.
