MRS for SAS Users is designed to help R users learn to process, query, transform and summarize big data using MRS's RevoScaleR package. This course takes a use-case-based approach to walk through the knowledge discovery and data mining process using MRS. To test your readiness for the course, work out the exercises in the R for SAS Users course.
After completing this course, participants will be able to use R in order to:
- Read and process flat files (CSV) using MRS
- Clean and prepare data for analysis
- Create new features
- Visualize, explore, and summarize data
- Build analytical models on large datasets using MRS.
While we occasionally draw certain parallels between SAS and R, this course does not teach a user to do a line-by-line (or chunk-by-chunk) conversion of SAS code to R code. Instead, by covering a thorough use-case, we attempt to show how to use R and what best practices to follow. At the end of the course, users should have a solid understanding of how to use R to process and analyze data, and compare and contrast R and SAS in how they deal with data. But there is no doubt that migration legacy code from SAS to R is a challenging task.