Session : 1 – Introduction to R

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R console and Editor
  • R Studio
  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Session : 2 – Data Processing using R

  • Reading Data
  • Writing Data
  • Slicing of Data
  • Merging Data
  • Apply functions

Session : 3 – Programming in R

  • If
  • For
  • While
  • Repeat
  • Break
  • Return
  • Functions
  • Name matching of arguments

Session : 4 – Graphics Using R

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs

Session : 5 – Machine Learning

  • Simulation (Sampling from Probability Distributions)
  • Supervised and Unsupervised Learning
  • Regression
  • Prediction
  • Forecasting
  • Dimension reduction (Principal Component Analysis)
  • Decision Tree
  • Anomaly Detection in data
  • Data clustering (k-means)
  • Classification (k- nearest neighbor)
  • Classification (Support Vector Machine)

Thanks for the best ever Training. I did my Android Course here. Trainer is very good in knowledge. They provides the best ever Support to me.

Kaviya