Introduction

2025-01-09

General Information

• BIOSTAT 620 Introduction to Health Data Science
• Instructor: Dylan Cable
• GSI: Yize Hao
• For each module, we will have lectures, followed by a problem set.
• Time permitting, we will work on problem sets together in class, as a lab.
• As such, bring your own computer to class, and come prepared with having set up the problem set.
• Class attendance is highly recommended.

Course Description

Lecture notes: https://dmcable.github.io/BIOSTAT620/

Please read the syllabus!

Important details

• Complete readings before class.
• Midterms are in person. There are no makeups.
• Make sure you read messages sent via Canvas
• You can select your own final project, but need approval.
• You should start final project by February 27.
• Help us pick office hours: we will send out a survey!

What’s coming

• UNIX/Linux shell.
• Reproducible document preparation
• Version control with git and GitHub
• R programming
• Data wrangling with dplyr and data.table
• Data visualization with ggplot2
• Probability theory, inference and modeling
• High-dimensional data techniques
• Machine learning

Let’s get started

• Install R.
• Install RStudio.
• Make sure you have access to a terminal.