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Course Overview

The Course Overview about R

  • Installing R for windows and Mac.
  • Explanation of 4 windows in R studio
  • How to use R Studio
  • What is data variable etc.
  • Printing the data
  • Data Types
  • Data Structures
  • Vectors
  • The Operator AND OR
  • Data frames
  • Using internal data
  • Intro to MASS
  • Using Data library
  • Using internal data
  • Math in R
  • Importing the data excel Csv etc.
  • Using the imported data
  • Functions in R
  • Data manipulation in R Studio

Graphs in R studio
  • Boxplot
  • Histogram
  • Bar plot
  • Pie etc.
  • Explanation of charts, how to use where to use.
  • Creating Basic Graph Types
  • Dplyr – Grammar to data manipulation

Full data manipulation with:
  • Select
  • Unique
  • Keep
  • drop
  • Wild card search (starts_with, ends_with, contains etc.)
  • Filter
  • rename
  • Sorting
  • Summaries with multiple conditions
  • Using operators
  • Slicing the data
  • Missing treatments
  • Sub queries in SQL.
  • Basic of Stats
  • Descriptive Stats
  • Freq etc.
  • Normal distribution
  • Use of Mean median and Stdv
  • Linear regression
  • Logistics regression
  • T- Test (H0 and H1)
  • Case studies 3- 5 in class discussion and data set provided