R programming is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries, advanced concepts, advanced data analytics and graphing with real world data.Format: Lectures and hands on labs. (50% lecture + 50% labs). Pace of the class is determined by the students.
Prior to taking this course, it is preferred that students have a basic programming background.
3 Days/Lecture & Lab
This course is designed for Developers / Data Analytics.
- Scalars, Vectors
- Control statements (if/else, loops)
- Matrices, Factors, lists
- String operations and file IO
- Functions and packages
- Data Frames
- Charting and Graphing in R
- Regressions (Linear and Logistic Regression)
- Text Analytics
- Dplyr package
- Collaborative Filtering
- Clustering (k-means)
- R and Hadoop