Description

Learners will develop foundational skills in R and Python essential for data science. Topics include data types, data structures, control structures, good coding practices, and reproducible coding within the context of a data science workflow.  The course concludes with a final project where you will apply your new skills and begin building content that you can use in your work environment or eventually include as part of a portfolio.

Course Notes

Required Resources: 

• Technology: Access – Moodle, Internet, computer, (webcam – Zoom) 

• Storage space to download platform (ideal), though can be cloud based.

• Python/R tools

• Materials / Software: A Project-based Approach to Introductory R and Python for Data Science (open source)

Evaluation Strategy: 

Learners will complete and present a data investigation of interest sequenced through project milestones assessed via a rubric/guidelines-criteria.

Instructional Hours

12.00