R Programming Complete Certification Training [2021 Edition]

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R Programming Complete Certification Training [2021 Edition] Download

R concepts, coding examples. Data structure, loops, functions, packages, plots/charts, data/files, decision-making in R.

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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
R Programming Complete Certification Training [2021 Edition] Free Download

Download [Part 1]   

Download [Part 2]   

Download [Part 3]   

Download [Part 4]   

Source: https://www.udemy.com/course/r-programming-training/
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