Additional Resources

Pre-requisites

The pre-requisite for this course is 140.776. All of the lecture material is available online. I encourage those enrolled in 140.777 to review the material to ensure you are familiar with these topics. Please use this as a resource to fill in any gaps in knowledge that you might have missed to ensure your success in this course, including:

• Familarity with tidy principles and programming in the tidyverse
• Writing functions and loops in R
• Debugging code in R
• Best practices for data analyses
• Leveraging Python within R using reticulate

Resources for best practice for data analyses

In addition to this topic being covered in 140.776, we have provided additional resources for improving your skills of writing good data analyses. This also includes avoiding common pitfalls. Here are some resources that you might find useful. If you have recommendations on other resources that should be added to the list, please share and we will gladly post them.

• (Some) Best practices for writing up a data analysis
• Ten simple rules for effective statistical practice
• Good enough practices in scientific computing
• Data Organization in Spreadsheets
• Good data analysis