R Programming
R Programming badge earners comprehend how to use this open source language and software
environment for statistical computing and graphics. Participants have learned how
to define a predictive modeling problem to study and have learned about R commands
for data analysis. Badge earners understand how to program a real-time predictive
tool and how to apply an approach to different predictive problems as part of class
projects.
Prerequisite: Some understanding of data analysis
Program objectives:
- Define R programming
- Understand predictive problem definition used to study data in R programming
- Use R programming commands for data analysis, statistical validation and graphics
- Use R programming to study the predictive problem
- Convert R programming into a real-time predictive tool
- Apply different predictive problems as part of individual class projects
- Use R programming for visualization of data and story telling
Required course
Learn R programming, and become skilled in this open source language and software environment for statistical computing and graphics. R programs are used by statisticians and data miners to facilitate data analysis and visualization and help build predictive models. In this class, you will learn how to define a predictive modeling problem to study; learn R commands for data analysis, program a real-time predictive tool. and apply your approach to different predictive problems as part of class projects. (Class schedule: Summer 2021)
