Schedule

Key Links

• Google form for homework submission.
• Codebase Starter repo
• Your open Codespaces

Other resources: Preceptor’s Primer for Bayesian Data Science, vscode.tutorials, misc.tutorials, and primer.tutorials.

Always install the relevant package before starting a new misc or primer tutorial. Example:

pak::pkg_install("PPBDS/misc.tutorials")

primer.tutorials is a little trickier:

pak::pkg_install("PPBDS/primer/primer.tutorials")

We are always fixing mistakes. You want to use the latest version.

If you do not complete the tutorials on time, you will be removed from the class. Send in your tutorial answers saved in html format. Please try to ensure that the name of the file is the default name, like 01-code_answers.html. Avoid using the name which will be assigned to the file if you download the same answers twice (or more), stuff like 01-code_answers (2).html. You can just change the name of the file by hand if this happens.

Week 1: June 15

Introduction to the tools we use for doing data science.

Monday

Monday’s homework must be completed before midnight on Sunday. We ensure this by only sending the Zoom link for class to students who submitted the homework.

• Read the Introduction from R for Data Science (2e).

• From the vscode.tutorials package, complete the “Code” (01-code) and “Quarto” (02-quarto) tutorials. Make sure that you have already completed the “Introduction to R” tutorial from tutorial.helpers before you starting these tutorials. We complete the tutorials from the vscode.tutorials in the order in which they appear.

Wednesday

• From the vscode.tutorials package, complete the “Terminal” (03-terminal) and “AI Introduction” (04-ai-1) tutorials.

Reminder: All work must be completed before class. Failure to submit your tutorial answers will result in you being removed from the course. It is not fair to your fellow students, with whom you will be working in small groups, for you to not be prepared for class.

Thursday

• From the vscode.tutorials package, complete the “GitHub Introduction” (05-github-1) tutorial.

Week 2: June 22

Finish learning about tools like Quarto and GitHub Pages.

Monday

• From the vscode.tutorials package, complete the “GitHub Advanced” (06-github-2) and “AI and Git” (07-ai-2) tutorials.

Wednesday

• From the misc.tutorials package, complete the “R for Data Science 1” (r4ds-1) tutorial.

Thursday

• From the vscode.tutorials package, complete the “Quarto Websites Introduction” (08-websites-1) tutorial.

Week 3: June 29

Monday

• Read Chapter 1 Probability and complete the “Probability” tutorial from the primer.tutorials package.

• Read Chapter 2 Sampling and complete the “Sampling” tutorial from the primer.tutorials package.

Wednesday

• From the misc.tutorials package, complete the “R for Data Science 2” (r4ds-2) tutorial.

Thursday

• Read Chapter 3 Rubin Causal Model and complete the “Rubin Causal Model” tutorial from the primer.tutorials package.

Week 4: July 6

Monday

• Read Chapter 4 Cardinal Virtues and complete the “Cardinal Virtues” tutorial from the primer.tutorials package.

• Read Chapter 5 Recruits and complete the “Recruits” tutorial from the primer.tutorials package.

Wednesday

• From the misc.tutorials package, complete the “R for Data Science 3” (r4ds-3) tutorial.

Thursday

• Read Chapter 6 Trains and complete the “Trains” tutorial from the primer.tutorials package.

Week 5: July 13

Monday

• Read Chapter 7 Colleges and complete the “Colleges” tutorial from the primer.tutorials package.

Wednesday

• From the vscode.tutorials package, complete the “Quarto Websites Advanced” (09-websites-2) tutorial.

Thursday

• From the misc.tutorials package, complete the “Census” (census) tutorial.

Week 6: July 20

Monday

• Read Chapter 8 Seguro Popular and complete the “Seguro Popular” tutorial from the primer.tutorials package.

Wednesday

• Read Chapter 9 Smokes and complete the “Smokes” tutorial from the primer.tutorials package.

Thursday

• From the misc.tutorials package, complete the “R for Data Science 4” (r4ds-4) tutorial.

Week 7: July 27

Monday

• Read Chapter 10 Shaming and complete the “Shaming” tutorial from the primer.tutorials package.

Wednesday

• From the vscode.tutorials package, complete the “Infrastructure” (10-infrastructure) tutorial.

Thursday

• From the misc.tutorials package, complete the “R for Data Science 5” (r4ds-5) tutorial.

Week 8: August 3

Monday

• You must have a draft of your final project, including a Quarto website.

Wednesday

• Practice presentations and feedback. You must have your presentation ready to go!

Thursday

• Final project presentations. You must invite someone, and bcc your TF when you do so.