Data Analytics with R Programming

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.

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
  • Statistics
  • Regressions (Linear and Logistic Regression)
  • Distributions
  • Text Analytics
  • Dplyr package
  • Collaborative Filtering
  • Clustering (k-means)
  • Classifications
  • R and Hadoop

Prior to taking this course, it is preferred that students have a basic programming background.


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