R Programming Complete Certification Training

About R Programming Complete Certification Training

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, time-series 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 on-screen or on hardcopy, and a well-developed, simple and effective programming language which includes conditionals, loops, user-defined 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 pre-compiled 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 deep-dive 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 decision-making 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. 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