Description for this udemy coupons course deal

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

What will you learn in this course

1. Deep practical knowledge of R programming language
2. Become a Data Scientist, Data Engineer, Data Analyst or Consultant
3. Fundamentals and setup of R Language
4. Get familiar with RStudio
5. Variables and Data Types
6. Input-Output Features in R
7. Operators in R
8. Data Structure in R
9. Vectors, Lists and their application
10. R Programs for Lists and Vectors in RStudio
11. Matrix and application of Matrices in R with R Programs
12. Arrays with R Programs for Arrays in RStudio
13. Data Frames and R Programs for Data Frame in RStudio
14. Factors, application of Factors, R Programs for Factors in RStudio
15. Decision-making in R, types of decision-making statements with R Programs
16. Loops in R, flowcharts and programs for loops in R
17. Functions in R
18. Strings in R
19. Packages in R
20. Data and File Management in R
21. Plotting in R (graphs, charts, plots, histograms)
22. Write complex R programs for practical industry scenarios

Who this udemy coupon 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