Resources
Additional resources to help you go further with learning R and Python
Academy Content Summary
Access the Content Summary
The Content Summary is a single scrollable page containing an overview of the concepts you have learned in the tutorials. The Content Summary updates weekly, and can be found on your Academy campsite homepage, under Helpful Links.

Download the Content Summary
Once your course is complete, you can download the complete content summary for future reference. Find instructions below for downloading, which will yield both a HTML file and a folder of related files; you need both to view the Content Summary. Note that the download process differs slightly depending on your browser.
- Open the Content Summary
- File > Save As >
- Format : Web Archive
- Open the Content Summary
- File > Save Page As >
- Format : Web Page, Complete
- Open the Content Summary
- File > Save Page As >
- Format : Webpage, Complete
- Open the Content Summary
- Press “Ctrl + S” > choose “Save as Type”
- In the resulting [save as type] dropdown, choose “Web Page, Complete”
- Open the Content Summary
- File > Save as
- From the unmarked dropdown, choose “webarchive”
Academy Data Gallery
The Academy Data Gallery contains a number of data sets that you can use to practice and extend the skills you learn during your Posit Academy apprenticeship.
Posit Recipes
Posit Recipes are short instructional guides with code snippets that demonstrate common data wrangling and visualization tasks in R.
If you are coming from a SAS background, you may benefit from this subset of recipes that include tips on translating various tasks from SAS to R.
Posit Cheatsheets
These handy one-pagers can help you remember key functions as you move forward with your data work.
Posit Community
This is an online forum where you can search, read, and post code questions. Posit Community is similar to other forums related to programming, like Stack Overflow, but has a reputation for being particularly friendly.
Online texts
We recommend the following free online texts to help you continue learning R and Python: