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13 Best R Programming Courses & Tutorials of 2020

R Programming Courses

With multiple R Programming Courses & Certification available, it’s quite difficult for students to find the best R Programming Course for their needs. Often we’re asked by students if there is a single course that fits all use-cases. The answer is YES. You can enrol in any popular R Programming Courses & Certification mentioned below.

Depending on your use case, you can choose the one that best suits your needs.

Our focus with this article is to highlight the best and most popular R Programming Courses in their respective categories.

1. Data Science and Machine Learning Bootcamp with R (Udemy)

Duration: 17. Hours

Rating : 4.6 out of 5

Jose Marcial Portilla has an MS in data science and programming from Santa Clara University and comes with years of experience as a developer and instructor. He will teach you in one of his best courses how to use R for data science , machine learning and data visualization. You can also learn about R’s advanced features in addition to learning programming with R, use R Data Frames to tackle difficult tasks & manage Excel Files among many other functions. Definitely, you should take a peek at top ml courses.

Key Highlights;

  • The trainer has a convenient style of discussion and good delivery.
  • 20,000 + enrolments with a high 4.6 out of 5 ratings.
  • Projects are really interesting alongside the course
  • The course is not too stressful but lets you dive deeply into R

You can Sign up Here

2. R Programming Course A-Z™: R For Data Science With Real Exercises (Udemy)

Duration: 10.5 Hours

Rating : 4.6 out of 5

Nearly 50,000 students attended this program and are highly rated by most users! You will learn programming during the curriculum in R And R Studio. It is natural to get frustrated with R’s steep learning curve, so you will receive step by step guide to go naturally. This is one of the finest R Programming Tutorials we recommend. See Best Data Science Course too.

Key Highlights:

  • In addition to the matrix() function, learn how to construct matrices in R, learn to rbind() and cbind()
  • Know the core R and R Studio concepts – Think about integer, double, logical, character
  • Kirill Eremenko is a teacher who is a specialist in data science and forex systems who has taught nearly 400,000 students online!
  • The preparation comes with ‘homework,’ so that you can not only practice but still have extra practice work.

You can Sign up Here

3. Data Science: R Basics Certificate by Harvard University (edX)

Duration: 8 weeks, 1 to 2 hours per week

Rating: 4.6 out of 5

It is a reality that R is now one of the most popular languages in past years which can be used in a range of fields. This course has been designed to present you to the fundamental principles of R programming. Explore the key notions by solving a real dataset problem. Before going on to vector function, cover R function and data types work like sorting. You will be able to work with various methods that can address problems in different fields by using this language.

Key Highlights:

  • Know to work with R’s fundamental syntax.
  • Know the fundamentals that will allow you to understand the more complicated problems.
  • Assessments and tasks give you the chance to apply the skills used in the lessons.
  • There is no precondition for this course.
  • Perform operations like sorting, data wrangling, dplyr and illustration.
  • This lesson’s content can be obtained free of charge and certification can be purchased for a small fee.

You can Sign up Here 

4. R Programming Certification by John Hopkins University (Coursera)

Duration: 5 Hours

Rating : 4.5 out of 5

This course teaches you how to program and use it for effective data analysis in R. It also includes reading R data, accessing R packages, writing R features, debugging and commenting on R code. This is taught by Roger D. Peng, PhD, Biostatistics Associate Professor; Jeff Leek, PhD, Biostatistics Associate Professor, and Brian Caffo, PhD Professor, Biostatistics.

Key Highlights:

  • Comes from renowned universities and highly acknowledged professors
  • Get to learn the history of R and S too
  • 4 Week course, part of a wider data science programme, so that after completing this one, you can proceed
  • Covers several quizzes
  • Learn about loop and debugging functions, simulation and profiling

You can Sign up Here

5. Software Development in R Certification by John Hopkins University (Coursera)

Duration: 6 Months

Rating : 4.4 out of 5

Get rigorous R language training at John Hopkins University with this certification course. Understand how complex data are handled, build R packages and develop personalized data visualisations. Roger D. Peng, PhD Associate Professor, Biostatistics and Brooke Anderson, Assistant Professor, Environmental and Radiological Health Science, developed and taught it.

Key Highlights:

  • Learn modern practices in software development
  • Even newcomers who have no previous R experience can register
  • Contains content for video and reading
  • Five-course bundle to take you through all the R details

You can Sign up Here

6. Statistics with R Certification by Duke University (Coursera)

Duration:

Rating : 4.7 out of 5

This Statistics program was developed by the University of Duke and is taught by Professor Mine Çetinkaya-Rundel; Professor David Banks; Assistant Professor Colin Rundel and Professor Merlise A Clyde. This is intended for you if you really are looking to learn R statistics and also want to know how to interpret data through inference, modelling and Bayesian approaches. Look at the right statistics courses as well.

Key Highlights:

  • Linear regression and modelling demystify
  • Get insights into data and probability
  • Know more about inferential statistics
  • Includes a project
  • Deep immersion in Bayesian statistics with 5 weeks of dedicated concept teaching

You can Sign up Here

7. R Programming: Advanced Analytics In R For Data Science

Duration: 6 Hours

Rating : 4.7 out of 5

Those who really want to dive deep into R should find this course very beneficial. Trainer Kirill Eremenko will help you to reach the next level of your R & R skills. Understand all about data analytics , data science, business statistical analysis, R and R Studio, GGPlot2.

Key Highlights:

  • Advance Level for those who want to learn –
  • Exercises that will allow you to connect real world analytics
  • Experience with specific data sets with years of experience in business,
  • Education is enjoyable and the meaningful learning it seeks to include
  • The teacher breaks off the session and gives you detailed description step by step

You can Sign up Here

8. R Training Course Online (LinkedIn Learning – Lynda)

Duration: 2 hours 25 minutes

Rating : 4.6 out of 5

Barton Poulson introduces you to the statistical processing language R in this course instructor. Start downloading R on your machine before taking the classes. The lessons cover areas such as having read SPSS data and spreadsheets and using advanced R function packages. Furthermore, learn to construct charts and graphs, to test statistical assumptions and data reliability. Complete the lectures with lectures about how to share knowledge through presentations, blogs and graphs.

Key Highlights:

  • The videos direct you through all basic principles from the presentations to the final performance.
  • The lectures contain a detailed elaboration of how exercises can start.
  • Exercises are accessible for both online and download practice.
  • The ‘offline view’ option allows you to attend online classes and without the internet.
  • The teaching is divided into 6 sections and the exercises concerned.
  • The full study material is available for one month free of charge.
  • Students, Information technology consultants, business analysts and many more are among the spectators of this training.

You can Sign up Here 

9. R Programming Courses & Tutorials Online (Pluralsight)

Duration: Self-paced

Rating : 4.6 out of 5

With a list of 14 courses, this platform has assembled a list of training courses that will be useful if you look forward to working on your programming R. The different courses concentrate on various aspects of the use of this language in different fields with specific methods. When you are looking for courses to improve your fundamentals, there will be lectures focused on R programming concepts, R data science, data visualization and many more. In various fields, such as machine learning, data processing, and research, there are several programs that concentrate on using R. You should have the faith and expertise to apply the learned knowledge in various projects by the end of your selected course.

Key Highlights:

  • Function in various frameworks such as Microsoft Data Platform, RStudio, Spark and Cloudera, Python and Scala software.
  • This series of courses provides learning opportunities for all regardless of their level of experience.
  • Apply the teaching principles by dealing with various features and writing code.
  • The course you enrol for can be downloaded free for the first ten days of the training.
  • Download the software and tools necessary to follow the lessons.

You can Sign up Here 

10. Statistics with R – Beginner Level

Duration: 3 Hours

Rating : 4.4 out of 5

In this course developed by Bogdan Anastasiei, who teaches quantitative business methods at University of Iasi, Romania, learn basic statistical analysis using the R programme. He provides some great perspective beyond standard training with his 20 years of teaching experience.

Key Highlights:

  • Learn to manipulate data in R (filter and sort data sets, recode and compute variables)
  • Learn how to assess skewing and kurtosis
  • Learn how to build histograms and cumulative charts
  • 3-hour crash course for a short time
  • Contains 13 supplemental resources, 12 articles and full life access

You can Sign up Here

11. R for Data Science Course (LinkedIn Learning – Lynda)

Duration: 2 hours 46 minute

Rating : 4.6 out of 5

‘Lunchbreak Lessons’ is intended to teach you one of most popular data analysis and reporting programming languages. Find out about language basics, methods to enhance existing R code, explore new and interesting features and learn about useful libraries and development resources that give you a chance to make your experience even more successful. Once this training has been completed, you have the skills and trust to develop your own code and solve real-world problems.

Key Highlights:

  • Since this is an initial + middle level course, some basic awareness of the fundamental concepts will also be useful.
  • Apply the principles addressed by the lessons by using this vocabulary for realistic assignments.
  • There is an ‘offline view’ alternative that allows users to view lectures without the internet and as you please.
  • Training and exercises are divided into different parts.
  • Full research material is free of charge.

You can Sign up Here 

12. Programming for Data Science with R Nanodegree Certification (Udacity)

Duration: 3 months, 10 hours/week

Rating: 4.5 out of 5

R is one of the most common programming languages in the IT sector, especially in the field of data science. If you are also one of those who want to pursue a career in the field of data science, this course is right for you. This course teaches you the basic tools for the programming of data sciences like SQL, R and Git to solve real-world analysis problems. This program is also integrated with several projects in the real world which allow you to test your knowledge and develop your skills. This course is part of Udacity ‘s School of Programming, which means you can participate in other Nanograduate programs after this course.

Key Highlights:

  • Learn how to use version control and share your work in the data science industry with other individuals
  • An effective nano degree program to participate in data science programming with R
  • Learn the basics of R programming, including variables, loops and functions
  • Flexible analysis from any position with access to any device’s course material
  • Get access to a one-on-one professional mentor to help you learn more about the subject in practice

You can Sign up Here

13. Introduction to Neurohacking In R by John Hopkins University (Coursera)

Duration: 9 Hours

Rating : 4.6 out of 5

Neurohacking includes using R to control, process and analyze neuroimaging data. The course focuses on structural magnetic resonance imaging and addresses topics such as the correction of inhomogeneity, image identification and image visualization. This is taught by Dr Elizabeth Sweeney, Fellow Biostatistics of the Rice Academy; Ciprian M. Crainiceanu, Biostatistics Professor; John Muschelli III, Assistant Scientist.

Key Highlights:

  • Visualize and explore these images Proper inhomogeneity, collect and record images
  • Learn to read and write brain images in NIfTI format (Neuroimaging IT Initiative)
  • Obtain a certificate at the end of course
  • 4 weeks of 2-4 hour investment course required every week.

You can Sign up Here

Wrapping Up

That’s the list of 13 Best R Programming Courses & Tutorials of 2020 with high-quality content. They are popular and loved by many R Programmers. Between these courses, you are sure to find what you need to learn to continue your path of R Programming.

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