Skip to content

owbezick/Principles-of-Data-Science-Curriculum

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

71 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Principles of Data-Science Curriculum

Davidson Logo

Description

The goal of this repository is to build an open-sourced curriculum for learning the principles of data science in the R programming language. A use case for this repository would be the data science minor at Davidson College. The coding sections of various classes within the minor often contain areas of overlap, which creates a lack of development for students that already have experience in the minor, so a repository such as this one would allow students to develop at their own pace.

This course will cover the basic skills as well as additional and intriguing skills of data science. The point of the course is not to "reinvent the wheel" by reteaching material to students who have already taken data science courses or may know of skills from other courses, but rather to provide one location with easy access to lessons and exercises so students can teach themselves at their own pace. These lessons and exercises were designed with advancement in data science studies in mind while also trying to keep the material engaging for anyone who uses them.

Therefore, this course supports flexibility in choosing and ordering topics. Students may follow the order of modules as pre-set by the designers of the course, or may pick and choose topics that are relevant to the student's interests. Activities will be available for each module, with starter code provided, as well as answer keys to check a student's answers.

Table of Contents

Course Content

Inspiration

The Fundamentals

The Fundamentals II

Data Wrangling and Visualization

Publishing Work

Extra Resources

Resource Sheet

Usage

To properly use this repository, click on one of the above links under the course content section to be taken to the Github Wiki. In the wiki page, there will be links to outside resources that teach you the goals of the wiki page. Complete the exercises and then compare to the asnwer key before moving onto the activity for the section which will be linked, too.

Contributing

If one would like to contribute to adding resources to this repository, please add your changes and submit a pull request!

Credits

Authors:

  • Dayton Simenz
  • Drew Dibble
  • Owen Bezick
  • Rachel Hendricks

Advisor:

  • Dr. Marsicano

License

MIT License