R PROGRAMMING

                                                                   R Programming

  1. Introduction to R
  2. Loading & Handling Data
  • Data Formulas
  • Data Quality
  • Expression
  • Logical Values
  • Dates
  • Function
  • Vectors
  • Matrices
  • Factors
  • List
  • Aggregate & apply function
  • Reading CSV & Spreadsheet
  1.  Exploring Data in R
  • Data Frames
  • Functions
  • EDA ( Exploratory Data Analysis )
  • Finding Missing Values
  • Data Range
  • Frequencies & Mode
  • Mean & Median
  • Standard Deviation
  • Data with Visualization
  1.    Linear Regression
  • Model Fitting
  • Lm() function
  • Scatter Plot
  1.   Logistic Regression
  • Use of Logistic Regression
  • Generalized Liner Model
  1.   Decision Tree
  2.   Time Series
  3.   Clustering                    

MCQ & Practical Assignment