8 Statistics with R Online Courses You Must Know in 2024- [Bestselller]

R programming has various statistical and graphical capabilities. R has a huge variety of libraries to perform statistical analysis. So, if you are looking for Statistics with R Online Courses, this article is for you. In this article, you will find some best Statistics with R Online Courses.

These courses are filtered out on the following criteria-

Criteria-

1. Rating of these Courses.
2. Coverage of Topics.
3. Engaging trainer and Interesting lectures.
4. Number of Students Benefitted.
5. Good Reviews from various aggregators and forums.

Now, without any further ado, let’s get started-

Statistics with R Online Courses

1. Statistics with R Specialization– Duke University

Rating- 4.6/5

Provider- Coursera

Time to Complete- 7 Months

This specialization program will give you in-depth Statistics knowledge with the help of R. In this program, you will learn how to analyze and visualize data in R and create reproducible data analysis reports, and much more.

R is much better than Python for performing statistical operations. So, if you want to master Statistics, then I would recommend this specialization program. This specialization program contains 5 Courses. Let’s see courses details-

Courses Include-

1. Introduction to Probability and Data with R
2. Inferential Statistics
3. Linear Regression and Modeling
4. Bayesian Statistics
5. Statistics with R Capstone

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with this, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

You Should Enroll if-

• You have basic math knowledge. No previous programming knowledge is required for this course.

Interested to Enroll?

If yes, then check out all details here– Statistics with R Specialization

2. Statistician with R– Datacamp

Time to Complete- 108 hours

This is a Career Track offered by Datacamp. In this career track, there are 27 courses. This career track will help you to gain essential skills to land a job as a statistician. In this career track, you will learn basic to advanced level concepts of statistics.

At the beginning of the career track, you will learn how to collect, analyze, and draw accurate conclusions from data, concepts of random variables, distributions, and conditioning, using the example of coin flips, how to fit simple linear and logistic regressions, how to fit model binomial data with logistic regression and count data with Poisson regression, etc.

Then you will learn Sampling, Hypothesis testing, basic experimental design, A/B testing, how to deal with missing data, survey design, survival analysis, Bayesian data analysis, Factor Analysis, and much more.

You Should Enroll if-

• You have previous knowledge in R programming.

Interested to Enroll?

If yes, then check out all details here-Statistician with R

3. Statistical Analysis with R for Public Health Specialization– Imperial College London

Rating- 4.7/5

Provider- Coursera

Time to Complete- 4 Months

This specialization program is especially dedicated to the Statistical Analysis for Public Health. In this program, you will learn key statistical concepts like sampling, uncertainty, variation, missing values, and distributions.

Along with that, you will get your hands dirty with analyzing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalization – using R.

This specialization consists of 4 courses.

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

You Should Enroll If-

• Anyone can enroll who has an interest in medicine and statistics. This is a Beginner Level program. No medical, statistical, or R knowledge is assumed.

Interested to Enroll?

If yes, then check out all details here- Statistical Analysis with R for Public Health Specialization

4. Statistics Fundamentals with R– Datacamp

Time to Complete- 20 hours

This is a Skill Track offered by Datacamp. In this skill track, there are 5 courses. In this skill track, you will learn how to answer questions like, “what is the likelihood of someone purchasing your product?”, “how many calls will your support team receive?“, etc by using sales data.

You will also learn the two most widely used statistical models, Linear regression and logistic regression. And how to perform linear and logistic regression with multiple explanatory variables. Then you will learn about Sampling and Hypothesis testing.

You Should Enroll if-

• You are comfortable in R programming.

Interested to Enroll?

If yes, then check out all details here- Statistics Fundamentals with R

5. Applied Statistical Modeling for Data Analysis in R– Udemy

Rating- 4.2/5

Time to Complete- 9.5 hours

This course is good for understanding statistical techniques using R programming. In this course, you will learn how to use R programming to perform different statistical data analysis and visualization tasks for data modeling.

You will also learn to identify which statistical techniques are best suited to their data and questions. The instructor covers the implementation of linear modeling techniques, advanced regression analysis, and multivariate analysis.

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get full lifetime access, 3 articles, and 41 downloadable resources.

You Should Enroll If-

• You have prior knowledge of R and R Studio.

Interested to Enroll?

If yes, then check out the course details here- Applied Statistical Modeling for Data Analysis in R

6. Data Analysis with R– Udacity

Rating- 4.8/5

Time to Complete- 2 Months

This is a completely FREE course to learn data analysis using R programming. This course begins with the introduction of exploratory data analysis (EDA). Then you will learn R basics by installing RStudio and packages.

After that, you will perform EDA to understand the distribution of a variable and to check for anomalies and outliers. You will also learn how to quantify and visualize individual variables within a data set to make sense of a pseudo-data set of Facebook users.

In this course, you will work on the Diamonds and Price Predictions project. In this project, you will investigate the diamond data set and see how predictive modeling can allow us to determine a good price for a diamond.

You Should Enroll If-

• You have prior knowledge of statistics.

Interested to Enroll?

If yes, then check out the course details here- Data Analysis with R

7. Data Science: Statistics and Machine Learning Specialization– Johns Hopkins University

Rating- 4.4/5

Provider- Coursera

Time to Complete- 5 Months

This is another Specialization program dedicated to statistics concepts. In this program, you will learn statistical inference, regression models, machine learning, and the development of data products.

At the end of this program, you will work on Capstone Project, where you will apply the skills learned by building a data product using real-world data. This specialization program uses the R programming language.

There are 5 courses in this specialization program.

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

You Should Enroll if-

• You have completed the Data Science: Foundations using R Specialization in order to gain the right foundation. Or you have a good understanding of R programming.

Interested to Enroll?

If yes, then check out all details here- Data Science: Statistics and Machine Learning Specialization

8. Statistics and Statistics with R Tutorials– MarinStatsLectures

Number of Videos- 106

In this tutorial, you will learn how to use R Stats Software for beginners along with tutorials for 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.

And here the list ends. I hope these Best Statistics with R Online Courses will help you to learn Statistics with R Programming. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

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

All the Best!

Enjoy Learning!

Thank YOU!

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