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Improve upon existing STAT 217 labs in R by creating a community data camp course that accompanies the labs.

1. Utilize GitHub to collaborate on project materials and updates.
2. Write all R code according to Hadley Wickam's Style Guide (http://adv-r.had.co.nz/Style.html). All R code should be written in a reproducible manner, such that code will execute when applied to a new data set.
3. Review existing STAT 217 lab materials on PolyLearn. Complete all 9 labs (read lab manual, watch pre-lab videos, take pre-lab quiz, and complete lab practice).
4. Take the Data Analysis and Statistical Inference course on Data Camp (https://www.datacamp.com/community/open-courses/statistical-inference-and-data-analysis#gs.e43W=KU)
5. Create a similar Data Camp community course specific to STAT 217 to replace pre-lab assignments (https://www.datacamp.com/teach/).
6. Create a quick R reference guide that contains essential information learned in each lab assignment.
7. Recommended Data Camp course for enhancing R programming: "Writing Functions in R" (https://www.datacamp.com/courses/writing-functions-in-r)