Data Analytics using R


The topics covered are:

  • Data Mining Overview
  • Introduction to Data Science
  • Why Big Data?
  • Introduction to R: An overview and features of R programming system.
  • R environment
  • Basic Data Structures
  • Data types
  • Introduction to R Studio
  • Working with Real Data
  • Vector operations
  • Conditionals: using “if” and “else” statements in R
  • Basic Plotting
  • R Graphics
  • Manipulating data in R
  • Looping in R: Introduction to the concept of looping in R
  • Write your own functions
  • Basic Statistics: Covariance, Correlation, Regression etc., Advanced data manipulation
  • Merging Data
  • Reading a web page into R

Preferred participants are: Faculty members, Research Scholars, UG/PG Students,MBA & MCA students