R concepts, coding examples. Data structure, loops, functions, packages, Descriptions/charts, data/files, decision-making in R.
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
Input-Output 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
Decision-making in R, types of decision-making 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
Descriptionting in R (graphs, charts, Descriptions, histograms)
Write complex R programs for practical industry scenarios
Requirements
Enthusiasm and determination to make your mark on the world!
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. Input-Output 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 (part-I)
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 (part-II)
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 RStudio
8. Data Structure in R (part-III)
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 decision-making 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
Built-in Function
User-defined 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. Descriptionting in R (Part-I)
Line graph
ScatterDescriptions
Pie Charts
3D Pie Chart
16. Descriptionting in R (Part-II)
Bar / line chart
Histogram
Box Description
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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