R Programming

R Programming

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Course Details –:

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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
  • 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

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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 RStudi

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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
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