Here are my favourite online courses to learn R programming language for Data Science and Statistics from Udemy, DataCamp, Coursera, Codecademy and LinkedIn Learning.

If you want to learn R programming and looking for the best online R Programming courses, and tutorials then you have come to the right place. In the past, I have shared Best R Programming Books to learn and in this article, you will find the **best R programming courses** from Udemy, Coursera, DataCamp, Codecademy and Linkedin Learning.

## 8 Best Online courses to learn R Programming for Beginners and Experienced Programmers in 2022

Read this list of Best R Programming Courses and if you found any Best R Programming Courses are missing please comment on the Best R Programming Courses name so that we can add them and update the list.

### R Programming – Coursera

**Rating**: 4.5

In this course, you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

The course covers practical issues in statistical computing which includes programming in R,** reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code**. Topics in statistical data analysis will provide working examples.

#### Skills You will gain:

- Data Analysis
- Debugging
- R Programming
- Rstudio

#### Extra Benefits:

- You will get a sharable certificate.
- Self-Paced Learning Option, Course Videos & Readings, Practice Quizzes
- Graded Assignments with Peer Feedback, Quizzes with Feedback, Programming Assignments

#### Who can Enroll on this Course:

Candidates who are having knowledge of regression are recommended.

**Best for**: Intermediate level | **Course Duration**: 57hrs | **Provider**: Johns Hopkins University

**Price**: audit the course for free

#### Interested to Enroll:

If yes, then you can enrol for this

R Programming Course visit the Courseand get offers

### Learn R Programming – DataCamp

In this R Programming course, you’ll learn how to manipulate data, write efficient R code, and work with challenging data, including date and time data, text data, and web data using APIs. As you become more comfortable with these skills, you’ll move on to learn about writing functions and object-oriented programming—an essential skill when working with large and complex programs. Through interactive exercises, you’ll also gain experience working with powerful R libraries, including devtools, testthat, and rvest, that will help you perform key programmer tasks, such as web development, data analysis, and task automation. Start this track and embark on your journey to becoming a R programmer.

**This Course contains topics like:**

- introduction to Tidyverse
- Data Manipulation with dplyr
- Writing efficient R Code
- Working with dates, Times in R
- String manipulation in R
- Data Manipulation with R
- Web Scraping in R
- Introduction to Writing functions in R
- Defensive R Programming
- Developing R Packages
- R Programming

#### Who can Enroll on this Course:

No prior experience with coding is required.

**Best for:** Beginners | **Course Duration:** 44hrs | **Provider**: DataCamp

**Total Courses**: 11 | **Total Projects**: 3

**Price**: $8/month Get flat 60% off annual sales ends in 2days. Also, get 60% off if you are a college student.

#### Interested to Enroll:

If yes, then you can enrol for this

R Programming visit the Courseand get 60% off for Students

### Data Analysis with R Programming – Coursera (Google)

**Rating:** 4.8

In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R. This course will also cover the software applications and tools that are unique to R, such as R packages.

You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

By the end of this course, you will learn the benefits of using the R programming language, how to use RStudio to apply R to your analysis, fundamental concepts associated with programming in R, contents and components of R packages including the Tidyverse package, understanding of data frames and their use in R, Discover the options for generating visualizations in R and Learn about R Markdown for documenting R programming.

**This Course contains topics like**:

- Programming and Data Analytics
- Programming using Rstudio
- Working with data in R
- More about Visualizations and Annotations
- Documentation and Reports

Those who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts.

#### Who can Enroll on this Course:

No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.

**Best for**: Beginners | **Course Duration**: 37hrs | **Provider**: Google

**Price**: audit the course for free, Need Certification $49/month

#### Interested to Enroll:

If yes, then you can enrol for this

Data Analysis with R Programming visit the Courseand get offers

### Data Science: Foundations Using R Specialization – Coursera

**Rating:** 4.6

This Data Science: Foundations Using R Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. If you complete this specialization then will be prepared to take the ** Data Science: Statistics and Machine Learning specialization**, in which you will build a data product using real-world data.

The five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving on to the more advanced topics in *Data Science: Statistics and Machine Learning*. The five courses in this specialization are:

**The Data Scientists toolbox****R Programming****Getting and Cleaning Data****Exploratory Data Analysis****Reproducible Research**

By taking this Data Science: Foundations using R Specialization, you will complete a project at the end of each course in this specialization. Projects include installing tools, programming in R, cleaning data, performing analyses, as well as peer review assignments.

**Skills You Will Gain:**

- Data Science
- Machine Learning
- Github
- R Programming
- Exploratory Data Analysis
- Rstudio
- Data Analysis
- Debugging
- Data Manipulation
- Regular Expression
- Data Cleansing
- Cluster Analysis

#### Who can Enroll on this Course:

You Should have programming experience (in any language), and knowledge of mathematics up to algebra (neither calculus nor linear algebra is required).

**Best For**: Beginners | **Course Duration**: 5 months (8hrs/week) | **Provider:** Johns Hopkins University

**Price**: audit the course for free, Need Certification $49/month

#### Interested to Enroll:

If yes, then you can enrol for this

Data Science foundation using R Specialization visit the Courseand get offers

### Statistics with R Specialization – Coursera

In this Data Analysis with R you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.

This Specialization consists of 3 Courses:

#### Skills you will Gain:

- Statistics
- R Programming
- Rstudio
- Exploratory Data Analysis
- Statistical Inference
- Statistical Hypothesis Testing
- Linear Regression
- Regression Analysis

#### Who can Enroll on this Course:

You Should have Basic math, no programming experience is required.

**Best For**: Beginners | **Course Duration**: 5 months (2hrs/week) | **Provider:** Duke University

**Price**: audit the course for free, Need Certification $49/month

#### Interested to Enroll:

If yes, then you can enrol for this

Statistics with R Specialization visit the Courseand get offers

### Learn R – Codecademy

In this course, you’ll be exposed to fundamental programming concepts in R. After the basics, you’ll learn how to organize, modify and clean data frames, a useful data structure in R. Then you’ll learn how to create data visualizations to showcase insights in data! Finish up with statistics and hypothesis testing to become a data analysis expert.

This main concepts consist in this course like:

- R introduction
- Data Frames
- Data Cleaning
- Fundamentals of data Visualization with ggplot
- Aggregates
- Joining tables
- Testing etc

You do not need to know how to code to enroll in this course!

**Best For**: Beginners | **Course Duration**: 20hrs | **Provider:** Codecademy

**Price**: free and Paid if certification needed

#### Interested to Enroll:

If yes, then you can enrol for this

Learn R Course visit the Courseand use the CodeSPRING22 to get 50% off

### R Programming A – Z – Udemy

**Rating**: 4.7

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward. You will learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises. this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

**Best For**: Beginners | **Course Duration:** 10.5hrs | **Articles**: 7

#### Interested to Enroll:

If yes, then you can enrol for this

R Programming A – Z Course visit the Courseand get offers

### Data Science and Machine Learning Bootcamp with R – Udemy

Rating: 4.7

This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost!

You will learn how to program with R, how to create amazing data visualizations, and how to use Machine Learning with R! Here a just a few of the topics we will be learning:

- Programming with R
- Advanced R Features
- Using R Data Frames to solve complex tasks
- Use R to handle Excel Files
- Web scraping with R
- Connect R to SQL
- Use ggplot2 for data visualizations
- Use plotly for interactive visualizations
- Machine Learning with R, including:
- Linear Regression
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forests
- Data Mining Twitter
- Neural Nets and Deep Learning
- Support Vectore Machines

**Best For**: Beginners | **Course Duration**: 17.5hrs | **Articles**: 9

#### Interested to Enroll:

If yes, then enroll for this

Data Science and Machine Learning with R visit this courseand Get discounts

That’s all about the** best R programming courses to join in 2022**. You can join these online courses to learn the R programming language for Data Science, Statistics, and Data Analysis.