R Programming

# R Programming Complete Certification Training [2021 Edition]

##### 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
- Plotting in R (graphs, charts, plots, 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. 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

##### 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