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R Programming

Track :

Programming

Lessons no : 35

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What will you learn in this course?
  • Master data cleaning and preprocessing techniques using R for accurate analysis and visualization
  • Apply R programming skills to perform statistical analysis and generate insightful graphs and reports
  • Utilize R libraries to manipulate datasets, perform data transformation, and automate repetitive tasks
  • Implement data visualization methods in R to communicate findings effectively to diverse audiences
  • Develop custom functions and scripts in R to streamline data analysis workflows and enhance productivity
  • Interpret statistical results from R outputs to make informed data-driven decisions in research and business
  • Troubleshoot common errors in R programming to ensure smooth data analysis processes
  • Integrate R with other data tools and platforms for comprehensive data analysis and reporting solutions
  • Create reproducible research workflows using R to ensure transparency and consistency in data projects
  • Leverage R for advanced statistical modeling and predictive analytics to uncover hidden data patterns

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Lessons | 35
How to install R on Ubuntu Using Terminal
00:06:00

How to install R on Ubuntu Using Terminal
How to install R on Windows Operating System
00:03:02

How to install R on Windows Operating System
How to install RStudio on Widnows Operating System
00:03:50

How to install RStudio on Widnows Operating System
How to run First R Program in Ubuntu Using Terminal
00:01:00

How to run First R Program in Ubuntu Using Terminal
How to Run First R Program in RStudio on Widnows Operating System
00:00:44

How to Run First R Program in RStudio on Widnows Operating System
Data types in R Programming Language Tutorial 6
00:04:12

Data types in R Programming Language Tutorial 6
Introduction to Vectors in R Programming Part 1 Tutorial 7
00:03:11

Introduction to Vectors in R Programming Part 1 Tutorial 7
Useful Functions seq rep any all in R Programming Tutorial 9
00:03:14

Useful Functions seq rep any all in R Programming Tutorial 9
Understanding Filtering in R Programming Tutorial 10
00:05:46

Understanding Filtering in R Programming Tutorial 10
How to create Vectors of Named Elements in R Programming Tutorials 11
00:01:15

How to create Vectors of Named Elements in R Programming Tutorials 11
Introduction to Matrix in R Programming Tutorial 12
00:03:02

Introduction to Matrix in R Programming Tutorial 12
Useful Matrix Functions in R Programming Tutorial 13
00:02:23

Useful Matrix Functions in R Programming Tutorial 13
How to use List in R Programming Tutorial 14
00:02:17

How to use List in R Programming Tutorial 14
Introduction to Dataframe in R Programming Tutorial 16
00:03:54

Introduction to Dataframe in R Programming Tutorial 16
Basic Introduction to Factor in R Programming Tutorial 18
00:02:34

Basic Introduction to Factor in R Programming Tutorial 18
Basic Introduction to R Programming Tutorial 19
00:04:25

Basic Introduction to R Programming Tutorial 19
Simple Introduction to if else in R Programming Tutorial 20
00:02:05

Simple Introduction to if else in R Programming Tutorial 20
If else if if else ladder in R Programming Tutorial 21
00:03:15

If else if if else ladder in R Programming Tutorial 21
Introduction to loop Repeat Loop in R Programming Tutorial 22
00:01:53

Introduction to loop Repeat Loop in R Programming Tutorial 22
Introduction to loop While Loop in R Programming Tutorial 23
00:02:12

Introduction to loop While Loop in R Programming Tutorial 23
Introduction to loop For Loop in R Programming Tutorial 24
00:02:34

Introduction to loop For Loop in R Programming Tutorial 24
How to write a First Simple Function in R Tutorial 25
00:01:59

How to write a First Simple Function in R Tutorial 25
Learn How to Write Function with Arguments in R Tutorial 25
00:01:39

Learn How to Write Function with Arguments in R Tutorial 25
How to return value from Function in R Tutorial 27
00:02:58

How to return value from Function in R Tutorial 27
Understading Default Arguments in R Tutorial 28
00:02:26

Understading Default Arguments in R Tutorial 28
How to Read and Analyze CSV file in R Programming Tutorial 29
00:04:13

How to Read and Analyze CSV file in R Programming Tutorial 29
How to calculate mean and median in R Tutorial 30
00:01:55

How to calculate mean and median in R Tutorial 30
How to solve Linear Regression Problem in R Tutorial 31
00:02:47

How to solve Linear Regression Problem in R Tutorial 31
How to solve Mutlipel regression Problem in R Programming Tutorial 32
00:02:26

How to solve Mutlipel regression Problem in R Programming Tutorial 32
How to generate Random Number for Normal Distribution in R Programming Tutorial 33
00:01:02

How to generate Random Number for Normal Distribution in R Programming Tutorial 33
How to Apply Chi Square Test in R Programming Tutorial 34
00:01:55

How to Apply Chi Square Test in R Programming Tutorial 34
How to create Bar Chart in R Programming Tutorial 35
00:01:12

How to create Bar Chart in R Programming Tutorial 35
How to Run R and Python Code in Single Jupyter Notebook
00:02:14

How to Run R and Python Code in Single Jupyter Notebook
How to load datasets in R from different formats
00:04:23

How to load datasets in R from different formats
Learn quickly data visualization in R | Generate graphs easily in R
00:14:06

Learn quickly data visualization in R | Generate graphs easily in R

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ALIMI SUNDAY SEGUN

It does not give profound learning but also give the basic ideas behind the techniques. 2025-02-18

Yashwanth Mersal

Very useful to learn easily 2025-01-20

GOKUL.T

Excellent teaching I have learn about r programming 2025-01-01

Mahi sharma

it was good 2024-08-03

Faiz Khan

average 2024-02-26

Kavya Bharathi G

Ok 2023-07-09

jatinder singh

good 2023-06-11

Hamida Noor

OK 2022-04-19

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R is a programming language for statistical computing and graphics that you can use to clean, analyze, and graph your data. It is widely used by researchers from diverse disciplines to estimate .