STAT 650 - Advanced R for Data Science

Units: 2
Professional R programming techniques. Data wrangling. R packages. Connections to databases. Use of R for reproducible research. Data Visualization. Use of R in cloud computing. Topics may include applied statistics, data science, and statistical/machine learning. Report writing.

Prerequisites: Post-baccalaureate standing.
Possible Instructional Methods: Entirely On-ground.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

Program R to wrangle data, including importing, manipulating, and exporting data.
Formulate solutions to problems and program appropriate R programs to produce visualization, reports, and appropriate output.
Interpret R output and communicate results.
Understand the terminology of R programming.