Training Tracks at the SSCC
The SSCC’s training is meant to complement the formal coursework in analysis that is part of most graduate programs. It teaches both software tools for working with data and the data wrangling skills needed to put real-world data in a form that can be analyzed. Completing this training will give you a complete set of data wrangling skills and prepare you to do research.
We offer this training in R and Stata, and parts of it in Python. Introduction and data wrangling fundamentals workshops in R and Stata are taught every semester, and topical workshops in rotation. Python is typically taught in the summer. See the SSCC’s training schedule for current offerings. The materials are also available online so you can work through it on your own at any time.
| Topic | When to take | R | Stata | Python |
|---|---|---|---|---|
| Introduction/Basics | Before any other training, or before taking a class that will use the language. | Introduction to R | Introduction to Stata | Data Wrangling in Python, chapters 1 & 2 |
| Data Wrangling Fundamentals | Before doing data-driven research. | Data Wrangling in R | Data Wrangling in Stata | Data Wrangling in Python |
| Data Wrangling Topics | When needed for your research. | Introduction to Web Scraping with R | Working with Dates and Times in Stata | |
| Tables and Data Visualization | When you start working with data. | Data Visualization in R with ggplot2 | Tables in Stata | |
| Tools | As soon as you decide you’ll use the language regularly. | Functions and Iteration in R | Stata Macros and Loops | Using Conda Environments for Python at the SSCC |
| Analysis Tools | When you start doing analysis. | Regression Diagnostics with R | Stata Regression Fundamentals |