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Course Details –:
Published by:
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What you’ll learn:
 Deep practical knowledge of R programming language
 Become a Data Scientist, Data Engineer, Data Analyst or Consultant
 Fundamentals and setup of R Language
 Get familiar with RStudio
 Variables and Data Types
 InputOutput Features in R
 Operators in R
 Data Structure in R
 Vectors, Lists and their application
 R Programs for Lists and Vectors in RStudio
 Matrix and application of Matrices in R with R Programs
 Arrays with R Programs for Arrays in RStudio
 Data Frames and R Programs for Data Frame in RStudio
 Factors, application of Factors, R Programs for Factors in RStudio
 Decisionmaking in R, types of decisionmaking statements with R Programs
 Loops in R, flowcharts and programs for loops in R
 Functions in R
 Strings in R
 Packages in R
 Data and File Management in R
 Plotting in R (graphs, charts, plots, histograms)
 Write complex R programs for practical industry scenarios
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Description:
Description:
1. Fundamentals of R Language

Introduction to R

History of R

Why R programming Language

Comparison between R and Python

Application of R
2. Setup of R Language

Local Environment setup

Installing R on Windows

Installing R on Linux

RStudio

What is RStudio?

Installation of RStudio

First Program – Hello World
3. Variables and Data Types

Variables in R

Declaration of variable

Variable assignment

Finding variable

Data types in R

Data type conversion

R programs for Variables and Data types in RStudio
4. InputOutput Features in R

scan() function

readline() function

paste() function

paste0() function

cat() function

R Programs for implementing these functions in RStudio
5. Operators in R

Arithmetic Operators

Relational Operators

Logical Operators

Assignment Operators

Miscellaneous Operators

R Programs to perform various operations using operators in RStudio
6. Data Structure in R (partI)

What is data structure?

Types of data structure

Vector– What is a vector in R?– Creating a vector– Accessing element of vector– Some more operations on vectors– R Programs for vectors in RStudio

Application of Vector in R

List– What is a list in R?– Creating a list– Accessing element of list– Modifying element of list– Some more operations on list

R Programs for list in RStudio
7. Data Structure in R (partII)

Matrix or Matrices– What is matrix in R?– Creating a matrix– Accessing element of matrix– Modifying element of matrix– Matrix Operations

R Programs for matrices in RStudio

Application of Matrices in R

Arrays– What are arrays in R?– Creating an array– Naming rows and columns– Accessing element of an array– Some more operations on arrays

R Programs for arrays in RStudi
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8. Data Structure in R (partIII)

Data frame– What is a data frame in R?– Creating a data frame– Accessing element of data frame– Modifying element of data frame– Add the new element or component in data frame– Deleting element of data frame– Some more operations on data frame

R Programs for data frame in RStudio

Factors– Factors in R– Creating a factor– Accessing element of factor– Modifying element of factor

R Programs for Factors in RStudio

Application of Factors in R
9. Decision Making in R

Introduction to Decision making

Types of decisionmaking statements

Introduction, syntax, flowchart and programs for– if statement– if…else statement– if…else if…else statement– switch statement
10. Loop control in R

Introduction to loops in R

Types of loops in R– for loop– while loop– repeat loop– nested loop

break and next statement in R

Introduction, syntax, flowchart and programs for– for loop– while loop– repeat loop– nested loop
11. Functions in R

Introduction to function in R

Builtin Function

Userdefined Function

Creating a Function

Function Components

Calling a Function

Recursive Function

Various programs for functions in RStudio
12. Strings in R

Introduction to string in R– Rules to write R Strings– Concatenate two or more strings in R– Find length of String in R– Extract Substring from a String in R– Changing the case i.e. Upper to lower case and lower to upper case

Various programs for String in RStudio
13. Packages in R

Introduction to Packages in R

Get the list of all the packages installed in RStudio

Installation of the packages

How to use the packages in R

Useful R Packages for Data Science

R program for package in RStudio
14. Data and File Management in R

Getting and Setting the Working Directory

Input as CSV File

Analysing the CSV File

Writing into a CSV File

R programs to implement CSV file
15. Plotting in R (PartI)

Line graph

Scatterplots

Pie Charts

3D Pie Chart
16. Plotting in R (PartII)

Bar / line chart

Histogram

Box plot
Who this course is for:
 R Developers & Data Developers
 Data Scientists – R, Python
 Newbies and beginners aspiring for a career in programming & statistical analysis
 Data Engineers and Statistical Analysts
 R & Python Programmers
 Technical & Analytics Consultants
 Anyone wishing to learn data science and machine learning
 Lead R Developers
 R Modelling Analysts
 Data Software Developers
 Financial and Marketing Analysts
 Software Engineers
 Web Application Developers
 Business Analysts and Consultants
 Data Science and Machine Learning enthusiasts
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