README.md
In r4ds/bookclub-dsieur: Data Science in Education Using R Book Club

R4DS Data Science in Education Using R Book Club

Welcome to the R4DS Data Science in Education Using R Book Club!

We are working together to read Data Science in Education Using R by Ryan A. Estrellado, Emily A. Bovee, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez. Join the #book_club-ds_in_education_using_r channel on the R4DS Slack to participate. As we read, we are producing notes about the book and saving them in this bookdown.

If you would like to present, please add your name next to a chapter using the GitHub Web Editor!

Cohort 1: (starts 2021-02-10) - Wednesdays, 5pm EST/EDT

2021-02-10: Chapters 01 & 02: Introduction & How to Use this Book: Isabella Velásquez and Ryan Woodbury
2021-02-17: Chapter 03. What does Data Science in Education Look Like?: Rob Lucas
2021-02-24: Chapter 04. Special Considerations: Ryan Woodbury
2021-03-03: Chapter 05. Getting Started with R and RStudio & Chapter 06. Foundational Skills: Mark LaVenia
2021-03-10: Chapter 07. Walkthrough 1: The Education Data Science Pipeline With Online Science Class Data: Yukie Toyama
2021-03-17: Chapter 08. Walkthrough 2: Approaching Gradebook Data From a Data Science Perspective: Morgan Grovenburg
2021-03-24: Chapter 09. Walkthrough 3: Using School-Level Aggregate Data to Illuminate Educational Inequities: Alyssa Ibarra
2021-03-31: Chapter 10. Walkthrough 4: Longitudinal Analysis With Federal Students With Disabilities Data: Isabella Velásquez
2021-04-07: Chapter 11. Walkthrough 5: Text Analysis With Social Media Data: Layla Bouzoubaa
2021-04-14: Chapter 12. Walkthrough 6: Exploring Relationships Using Social Network Analysis With Social Media Data: Carlo Medina
2021-04-21: Chapter 13. Walkthrough 7: The Role (and Usefulness) of Multilevel Models: Mike Haugen
2021-04-28: CANCELLED
2021-05-05: Chapter 14. Walkthrough 8: Predicting Students’ Final Grades Using Machine Learning Methods with Online Course Data: shamsuddeen
2021-05-12: Chapter 16. Teaching Data Science: Joshua Rosenberg
2021-05-19: Chapter 15. Introducing Data Science Tools To Your Education Job: Rob Lucas
2021-05-26: Chapters 17 - 19. Learning More & Additional Resources & Conclusion: Where to Next?: *Ryan Woodbury*

This repository is structured as a {bookdown} site. To present, follow these instructions:

Setup Github Locally
Fork this repository.
Create a New Project in RStudio using your fork.
Create a New Branch in your fork for your work.
Edit the appropriate chapter file. Use ## to indicate new slides (new sections).
If you use any packages that are not already in the DESCRIPTION, add them. You can use usethis::use_package("myCoolPackage") to add them quickly!
Commit your changes.
Push your changes to your branch.
Open a Pull Request (PR) to let us know that your slides are ready.