So you want to learn Data Science with R? **Good Decision!** Because R programming has various statistical and graphical capabilities. R has a huge variety of libraries to perform statistical analysis. Some most powerful visualization packages in R are **ggplot2, ggvis, googleVis, and rCharts.** So if you are looking for the **Best Online Courses for Data Science with R**, then this article will help you.

In this article, you will find the 10 Best Online Courses for Data Science with R programming. And these courses are filtered out on the following criteria-

**Criteria-**

- Rating of these Courses.
- Coverage of Topics.
- Engaging trainer and Interesting lectures.
- Number of Students Benefitted.
- Good Reviews from various aggregators and forums.

So, without wasting your time, letâ€™s start finding the Best Online Courses for Data Science with R-

**Best Online Courses for Data Science with R**

- 1. Data Science: Foundations using R Specializationâ€“Â Coursera
- 2. Applied Data Science with R Specialization- Coursera
- 3. Programming for Data Science with Râ€“Â Udacity
- 4. Â Data ScientistÂ with R- Datacamp
- 5. Data Science Specializationâ€“Â Coursera
- 6. Data Science and Machine Learning Bootcamp with R-Â Udemy
- 7. Data Visualization & Dashboarding with R Specialization- Coursera
- 8. Â Statistical Analysis with R for Public Health Specialization- Coursera
- 9. R for Data Science- Book
- 10.Â Statistics and Statistics with R Tutorialsâ€“ MarinStatsLectures
- Conclusion

**1. ****Data Science: Foundations using R Specialization**â€“ Coursera

**Data Science: Foundations using R Specialization**â€“ Coursera

Rating- | 4.6/5 |

Provider- | Johns Hopkins University |

Time to Complete- | 5 months (If you spend 8 hours/week) |

This is a specialization program offered by **Johns Hopkins University**. There are **5 courses** in this program. In the first course, you will understand **what is data science, R programming basics, and GitHub and R Studio.**

The next course is a detailed lesson on **R Programming**, where you will learn how to program with R Programming. The next course is all about **cleaning the data. **In this course, you will learn how to **read various file types **and how to **manage Data Frames with dplyr.**

Course 4 will teach **Exploratory Data Analysis** and cover the Lattice system and the ggplot2 system. This course also has case studies on** Air Pollution and Clustering.** The last course of this specialization program will teach **Reproducible Research** and **knitr**. knitr is a literate programming tool.

This specialization program has** quizzes and exercises** throughout the program.

**Courses Details-**

**The Data Scientistâ€™s Toolbox****R Programming****Getting and Cleaning Data****Exploratory Data Analysis****Reproducible Research**

**Extra Benefits-**

- You will earn
**Shareable Specialization and Course Certificates**. - Along with that, you will get
**Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.**

**Drawback-**

- The last course of this program is very basic and doesn’t cover the concept in detail.

**Who Should Enroll?**

- Those who have some programming experience in any language and have some working knowledge of mathematics up to algebra.

**Interested to Enroll?**

If yes, then check out the details here-

Data Science: Foundations using R Specialization

**2. Applied Data Science with R Specialization- Coursera**

Rating- | 4.3/5 |

Provider- | IBM |

Time to Complete- | 5 months (2 hours per week) |

This is a **new specialization program **offered by IBM for those who want to learn **Data Science with R programming**. In this specialization program, there are 5 courses. The first course covers **R programming fundamentals **and how to **work with Data using R programming.** Course 1 also has one project.

In the next course, you will learn the **SQL basics and some intermediate SQL concepts** such as how to use **String Patterns and Ranges, how to sort Result Sets, Built-in Database Functions, etc.**

The third course will teach the complete process of data analysis using R starting from **Data wrangling** to **Model Development** using R Programming.

Next, you will learn the **ggplot2 library** for performing data visualization in R Programming. In the end, there is one **Capstone Project**. In this project, you have to use all the concepts learned throughout the program. This project helps you to **test your understanding.**

**Courses Details-**

**Introduction to R Programming for Data Science****SQL for Data Science with R****Data Analysis with R****Data Visualization with R****Data Science with R – Capstone Project**

**Extra Benefits-**

- You will earn
**Shareable Specialization and Course Certificates**. - Along with that, you will get
**Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.**

**Drawback-**

- The first course is not for beginners because the instructor covers some advanced concepts.

**Who Should Enroll?**

- Those who are a beginner with no previous knowledge in R programming and SQL.

**Interested to Enroll?**

If yes, then check out the details here-

Applied Data Science with R Specialization

**3. Programming for Data Science with R**â€“ **Udacity**

Rating- | 4.7/5 |

Provider- | Udacity |

Time to Complete- | 3 months( If you spend 10 hours/week) |

This is a **Nanodegree program** offered by Udacity. In this program, there are 3 courses. Course 1 will cover **SQL basics and some advanced SQL queries. **After learning the SQL basics, you have to work on one project where you have to work on investigating a dataset.

The next course will teach **R Programming fundamentals. ggplot2** is a data visualization library in R programming. And you will learn how to use

**ggplot2**to perform data visualization.

The last lesson is **Version Control**. Overall, this Nanodegree has a **perfect balance between theory and practice.** Each lesson has one project. The best part about Udacity is its** technical mentor support feature.** That means, after enrollment, you will get a mentor. And you can ask your doubts with your mentor.

**Extra Benefits-**

- You will get a chance to work on
**real-world**projects from industry experts and Project feedback from experienced reviewers. - You will also get Technical mentor support and Career Services
**.**

**Drawback-**

- The Nanodegree is expensive as compared to other programs.

**Who Should Enroll?**

- Those who are a beginner in data science. There are no prerequisites for this Nanodegree program.

**Interested to Enroll?**

If yes, then check out the details here-

Programming for Data Science with R

**4. **** ****Data Scientist with R**– Datacamp

**– Datacamp**

**Data Scientist with R**Rating- | NA |

Provider- | Datacamp |

Time to Complete- | 88 hours |

This is a **Career Track **offered by **Datacamp. **In this career track, there are 24 courses. At the beginning of this career track, you will learn **R programming basic and advanced concepts** such as **factors, lists, data frames**, etc. Then you will learn **tidyverse**, a powerful and popular collection of data science tools within R.

You will also learn **Data Manipulation and Data joining with dplyr, data visualization using ggplot2, how to import data in R, Data cleaning in R, exploratory analysis in R,** **Statistics and Regression in R, etc.**

Throughout this career track, there are **various self-assessment tests **that will help you to test your understanding. There is one case study in this track where you have to use the ggplot2 package and **explore trends in United Nations voting within each country over time.**

**Drawback-**

- Too much of the code comes pre-written.

**Who Should Enroll?**

- Those who are a
**beginner**and want to**learn data science with R from scratch.**

**Interested to Enroll?**

If yes, then check out the details here-

Data Scientist with R

**5. ****Data Science Specialization**â€“ **Coursera**

**Data Science Specialization**

Rating- | 4.5/5 |

Provider- | Johns Hopkins University |

Time to Complete- | 11 months (7 hours per week) |

This is another specialization program for R programming. In this program, there are **10 courses**. This is a detailed program where you will the** data science basics, R Programming basics, data cleaning, end-to-end data analysis process, etc.**

There are some lessons in this program where you will learn statistical inference, **Regression**, **Statistical Linear Regression Models**, **Multivariable Regression**, **Logistic Regression**, **Poisson Regression, etc.**

This program also covers the **practical part of machine learning, the Caret package,** **Shiny, GoogleVis, Plotly, R Markdown, Leaflet**, **etc.** In the end, there is one Capstone project.

**Courses Details-**

**The Data Scientistâ€™s Toolbox****R Programming****Getting and Cleaning Data****Exploratory Data Analysis****Reproducible Research****Statistical Inference****Regression Models****Practical Machine Learning****Developing Data Products****Data Science Capstone**

**Extra Benefits-**

- You will earn
**Shareable Specialization and Course Certificates**. - Along with that, you will get
**Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.**

**Drawback-**

- The statistical Inference course is not well-structured and doesn’t explain the concepts easily.

**Who Should Enroll?**

- Those who have beginner-level knowledge in any programming language.

**Interested to Enroll?**

If yes, then check out the details here-

Data Science Specialization

**6. ****Data Science and Machine Learning Bootcamp with R-** Udemy

**Data Science and Machine Learning Bootcamp with R-**Udemy

Rating- | 4.6/5 |

Provider- | Jose Portilla |

Time to Complete- | 17.5 hours |

In this course, first, you will learn **R Programming Basics and advanced R Programming** such as **Math Functions with R**, **Regular Expressions**, and **Dates and Timestamps**.

After that, you will learn **Data Manipulation** and **Data Visualization **using **R Programming. **This course also covers **Linear Regression**, **Logistic Regression**, **K Nearest Neighbors**, **Decision Trees, and Random Forests with R**.

** K-Means Clustering**, **Natural Language Processing**, and **Neural Network with R **are also covered in this course. Overall, this is a good course for learning **data science and machine learning using R programming.**

**Extra Benefits-**

- You will get a
**Certificate of completion**. - Along with that, you will get
**full lifetime access**and**9 articles and 3 downloadable resources.**

**Drawback-**

- Some exercises are hard to understand for beginners.

**Who Should Enroll?**

- Those who are a
**beginner with basic Math Skills.**

**Interested to Enroll?**

If yes, then check out the details here-

Data Science and Machine Learning Bootcamp with R

**7. Data Visualization & Dashboarding with R Specialization- Coursera**

Rating- | 4.9/5 |

Provider- | Johns Hopkins University |

Time to Complete- | 4 months (4 hours per week) |

This specialization program is good for those who want to** learn data visualization using R.** In this program, there are **5 courses.** First, you will learn **R Programming basics and Tidyverse packages**. Next, you will learn** data visualization using ggplot2** and some advanced concepts of data visualization such as **Variations on Scatterplots, Adding Best Fit Lines, Drawing Scatterplot Matrices, Making a stacked area graph, Choropleths, gganimate, etc.**

Next, you will learn **Shiny** and **flexdashboard**. The last part of this program is a **Capstone project.** Overall, this is a good course with lots of exercises and quizzes.

**Courses Details-**

**Getting Started with Data Visualization in R****Data Visualization in R with ggplot2****Advanced-Data Visualization with R****Publishing Visualizations in R with Shiny and flex dashboard****Data Visualization Capstone**

**Extra Benefits-**

- You will earn
**Shareable Specialization and Course Certificates**. - Along with that, you will get

**Drawback-**

- Some exercises are complex. It requires some extra google search.

**Who Should Enroll?**

- Those who are a
**beginner**and want to**learn Data visualization using R programming.**

**Interested to Enroll?**

If yes, then check out the details here-

Data Visualization & Dashboarding with R Specialization

**8. **** Statistical Analysis with R for Public Health Specialization**– Coursera

**Statistical Analysis with R for Public Health Specialization**– Coursera

Rating- | 4.7/5 |

Provider- | Imperial College London |

Time to Complete- | 4 months (If you spend 3 hours/week) |

In this specialization program, there are 4 courses. First, you will understand the **uses of Statistics in Public Health, what is Sampling, and how to Formulate a Research Question.** Then you will learn **R Programming basics and perform Descriptive Analysis** using R. The instructor also explains how to run **a New Hypothesis Test using R.**

In the next two courses, you will learn **Linear Regression and Logistic Regression **using R Programming. The last course is on **Survival Analysis in R**. In this course, you will learn the **KM plot** and **what is Heart Failure, and how to run a KM plot in R.**

**Cox Model and multiple Cox models in R** are also covered in this course. This program is a **combination of practical videos, reading materials, quizzes, and projects.**

**Extra Benefits-**

- You will earn
**Shareable Specialization and Course Certificates**. - Along with that, you will get

**Drawback-**

- The theory of survival analysis part is not covered in detail.

**Who Should Enroll?**

- Those who are a beginner with no knowledge of statistics or R software

**Interested to Enroll?**

If yes, then check out the details here-

Statistical Analysis with R for Public Health Specialization

**Extra Resources to Learn Data Science with R **

**9. **R for Data Science**– Book**

**Author- ***Hadley Wickham & Garrett Grolemund*

This book is for those who want to learn **R programming for data science**. In this book, you will learn how Data Scientists use R. This book will teach **data cleaning, wrangling, visualization, etc.**

But if you are a beginner in R, then I wouldnâ€™t recommend this book. Because this book requires some previous knowledge in R programming.

You can read this book after reading **Hands-On Programming with R**.

**10. Statistics and Statistics with R Tutorialsâ€“ MarinStatsLectures**

**Number of Videos- **106

In this tutorial, you will learn how to use **R Stats Software for beginners** along with tutorials on the various concepts in statistics.

Along with this, you will learn topics such as **downloading and installing R and RStudio**, **importing data into R, exporting data out of R, getting started working with R**, **descriptive statistics in R, bivariate hypothesis testing using R software both parametric and non-parametric, etc.**

Check the Tutorial here-Statistics and Statistics with R Tutorials

And here the list ends. I hope these Best Online Courses for Data Science with R will help you to learn data science with R Programming. I would suggest you bookmark this article for future referrals.

**My Recommendation**

I would recommend ** Data Science Specialization** by

**Johns Hopkins University**. Because this is a

**detailed course to learn data science from scratch using R Programming.**The best part of this program is that this will cover

**statistical concepts**which are essential in data science.

Now itâ€™s time to wrap up.

**Conclusion**

In this article, I tried to cover all the **Best Online Courses for Data Science with R**. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

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