Course overview
 Provider
 Udemy
 Course type
 Paid course
 Level
 All Levels
 Duration
 21 hours
 Lessons
 39 lessons
 Certificate
 Available on completion
 Course author
 Uplatz Training

 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
 InputOutput 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
 Decisionmaking in R, types of decisionmaking 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
Description
A warm welcome to the R Programming course by Uplatz.
R is a programming language that provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, timeseries analysis, classification, clustering) and graphical techniques, and is highly extensible.
While there is something called the S language which is often the vehicle of choice for research in statistical methodology, on the other hand R provides an Open Source route to participation in that activity. R is nothing but an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis, graphical facilities for data analysis and display either onscreen or on hardcopy, and a welldeveloped, simple and effective programming language which includes conditionals, loops, userdefined recursive functions and input and output facilities.
R can be considered as an integrated version of a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under the GNU General Public License, and precompiled binary versions are provided for various operating systems like Linux, Windows and Mac. This programming language was named R, based on the first letter of first name of the two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs Language S.
This R Programming course by Uplatz is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. Even if you are a beginner, this R course is the perfect place to start. If you are trying to understand the R programming language as a beginner, this R Programming course will provide you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise. This R tutorial will provide you an opportunity to take a deepdive into R programming and build your R skills from scratch. To get the most out of the R programming training, you would need to practice as you proceed with the tutorials.
After successful completion of the R Programming training course you will be able to:
Master the use of the R and RStudio interactive environment
Expand R by installing R packages
Explore and understand how to use the R documentation
Read Structured Data into R from various sources
Understand the different data types in R
Understand the different data structures in R
R programming constructs  variables, functions, string manipulation, loops, etc.
Conduct decisionmaking using R
Able to do Data and file management in R
Packages in R
Plotting and Visualization in R
and more...
R Programming  Course Syllabus
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. InputOutput 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 (partI)
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 (partII)
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 (partIII)
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 decisionmaking 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
Builtin Function
Userdefined 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 (PartI)
Line graph
Scatterplots
Pie Charts
3D Pie Chart
16. Plotting in R (PartII)
Bar / line chart
Histogram
Box plot
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