## R Programming Training Syllabus

Due to its widespread adoption for both statistical and graphical computing applications, we are proud to provide the best R Programming Training in Chennai. Our comprehensive R Programming Training Syllabus covers a wide range of statistical and graphical methods, including but not limited to Linear and Non-Linear Modeling, Classical Statistical Tests, Clustering, Classification, Time-Series Analysis, and many others.

To help aspiring IT professionals enter the field with a firm grasp of fundamental programming principles in R Language, we provide a comprehensive R Programming Course curriculum in the language. Through our R Programming Course Syllabus, our students will learn industry-leading techniques including basic Data Analysis, debugging, RStudio, and more.

Let’s examine the R programming course curriculum

Introduction

• What are Data Analysis, Data Analytics and Data Science?
•  Case study of Walmart

Various analytics tools

• Descriptive
• Predictive
• Web Analytics
•  R and features
•  Evolution of R?
•  Big data Hadoop and R

Data Types

• R & R Studio Installation Scalar
•  Vectors
•  Matrix
•  List
•  Data frames
•  Factors
•  Handling date in R
•  Conversion of data types
•  Operators in R

Importing Data

• CSV files Database data (Oracle 11g)
•  XML files
•  JSON files
•  Reading & Writing PDF files
•  Reading & Writing JPEG files
•  Saving Data in R

Manipulating Data

• Cbind, Rbind Sorting
•  Aggregating
•  dplyr

Conditional Statements and Functions

• If …else
•  For loop
•  While loop
•  Repeat loop
•  Apply()
•  sApply()
•  rApply()
•  tApply

Statistical Concepts

• Descriptive Statistics
•  Inferential Statistics
•  Central Tendency (Mean,Mode,Median)
•  Hypothesis Testing
•  Probability
•  tTest
•  zTest
•  Chi Square test
•  Correlation
•  Covariance
•  Anova

Predictive Modelling

• Linear Regression
•  Normal distribution
•  Density

Data Visualisation in R using GGPlot

• Box Plot
•  Histograms
•  Scatter Plotter
•  Line chart
•  Bar Chart
•  Heat maps
•  Csv files

Misc. functions and Data Visualization using Plotly

• 3D-view
• Geo Maps
•  Null Handling
•  Merge
•  Grep
•  Scan