This guide contains a list of training courses on software and tools that can be used for data analysis, digital humanities, or to gain data literacy and curation skills.
Codeacademy offers a free 16 lesson course on R for beginners that takes about 20 hours to complete. It takes you learn writing code in R, how to organize, edit and clean data, and create data visualizations. **Requires a free account.
This course covers the basics of statistical inference and how to analyze data with R. 4 week course that requires about 2-4 hours a week. From Harvard University on EdX, self-paced, but courses are held during specific data ranges and require registration.
Introduces you to R language fundamentals. This is a 5 week course that requires 1-2 hours a week. From IBM on EdX, self-paced, but courses are held during specific data ranges and require registration.
This LinkedIn Learning course provides an introduction to Stata and how it can be used for data analysis. Include video tutorials as well as exercises. Recorded using Stata 15, but it is up to date for Stata 16. Approximately 4 hours. **Login with your WM credentials
This LinkedIn Learning course explores advanced and specialized topics in Stata, from panel data modeling to interaction effects in regression models. Includes video tutorials, exercises and quizzes. Approximately 5 hours. **Login with your WM credentials
Stata provides over 300 video tutorials demonstrating how to use Stata and on solving specific problems. Catalog of videos is available through YouTube and updated frequently.
This LinkedIn Learning course provides an introduction to SPSS and how it can be used for statistics and data analysis. Include video tutorials as well as exercises and quizzes. Approximately 6 hours. **Login with your WM credentials
