R Programming Certification Training: 2020 Edition
- 4.6
Brief Introduction
R concepts, coding examples. Data structure, loops, functions, packages, plots/charts, data/files, decision-making in R.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. Plotting in R (Part-I)
Line graph
Scatterplots
Pie Charts
3D Pie Chart
16. Plotting in R (Part-II)
Bar / line chart
Histogram
Box plot
Requirements
- Requirements
- Enthusiasm and determination to make your mark on the world!
Knowledge
- 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
- Plotting in R (graphs, charts, plots, histograms)
- Write complex R programs for practical industry scenarios