Our team of global experts have compiled this list of the 10 Best R Programming Certification, Tutorial, Course, Classes & Training program available online in 2020 to help you Learn R. These are suitable for beginners, intermediate learners as well as experts. Also, if you are interested, do check out Best Python Certification.

10 Best R Programming Certification, Tutorial, Course and Training Online [2020][UPDATED]

This program has been attended by close to 50,000 students and enjoys high ratings from most users! You will learn programming in R And R Studio by actually doing it during the program. With the steep learning curve that R has, it is natural to get overwhelmed and therefore you will get step by step instructions to move at a natural pace. We recommend this as one of the best R Programming Tutorial. Do check out Best Data Science Course as well.

Key USPs –

– Learn the core principles of R and R Studio

– Learn about integer, double, logical, character and other types

– Learn to create matrices in R in addition to the matrix() function, learn rbind() and cbind()

– The training comes with ‘homework’ so you will not just practice but have extra practice work as well

– The trainer, Kirill Eremenko is a Data Scientist & Forex Systems Expert who has taught close to 400,000 students online!

Rating : 4.6 out of 5

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Excellent course providing a hands on introduction to R in the context of data analysis and visualization. Very nice mix of hand holding, concrete information, and useful tricks that will become everyday tools. – Chris Hall

Jose Marcial Portilla has an MS from Santa Clara University and comes with years of experience as a developer and instructor in data science and programming. In one of his best courses, he will teach you how to use R for data science, machine learning and data visualization. In addition to learning programming with R, you will also learn about the advanced features of R, using R Data Frames to solve complex tasks & handle Excel Files among many other functions. You should definitely have a look at top ml courses.

Key USPs –

– 20,000+ enrollments with a high rating of 4.6 out of 5.

– Trainer has a comfortable, conversational style and good delivery.

– Course isn’t too nerdy, but helps you deep dive into R

– Projects along with the course are very interesting

Rating : 4.6 out of 5

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Great course, amazing teacher. Although I have a background in software development and databases, I had never used R before or employed statistical methods. After taking this course, including the recommended reading and the exercises, I feel confident in being able to use R and the machine learning methods covered in the course. – Peter Mancoll

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

Key USPs –

– 4 Week course, part of larger Data Science Program so you can continue further after completing this one

– Comes from highly reputed university and highly acclaimed professors

– Also get to know about the history of R and S

– Learn about Loop Functions & Debugging, Simulation & Profiling

– Includes multiple quizzes

Rating : 4.5 out of 5

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Review – This course was intense and I learnt a lot in the 4 weeks. THe programming assignments are the ones that teach you the most. I spent double the time doing an assignment than what I spent in watching the videos and learning from the internet. Swirl sets you up to deal with bigger problems. Do take this course if you want to learn R in a very structured manner.

It is a fact that in recent years R has become one of the most sought after languages that can be used in an array of fields. This course is designed to introduce you to the basics of R programming. Learn the key concepts by solving a problem that involves a real dataset. Cover R’s function and data types before moving on to operating on vectors and advances function like sorting. By using this language you will be able to work with different tools that can solve challenges in various fields.

Key USPs-

– Learn to work with the basic syntax of R.

– Understand the fundamentals that will help you to understand the more complex topics.

– Assignments and projects give you an opportunity to implement the knowledge covered in the lessons.

– No prerequisite is required to take this course.

– Perform operations such as sorting, data wrangling, using dplyr and making plots.

– The content of this lesson can be accessed for free and the certification can be added for a nominal fee.

Duration: 8 weeks, 1 to 2 hours per week

Rating: 4.6 out of 5

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This Statistics specialization is created by Duke University and taught by Mine Çetinkaya-Rundel, Associate Professor; David Banks, Professor; Colin Rundel, Assistant Professor and Merlise A Clyde, Professor. This is meant for you if you are looking to master statistics using R and also want to become proficient at data analysis including inference, modeling, and Bayesian approaches. Do also have a look at best statistics courses.

Key USPs –

– Get insights into Probability and Data

– Learn all about Inferential Statistics

– Demystify Linear Regression and Modeling

– Deep dive into Bayesian Statistics with 5 weeks of dedicated teaching on the concept

– Includes a project

Rating : 4.7 out of 5

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Review – This course literally taught me a lot, the concepts were beautifully explained but the way it was delivered and overall exercises and the difficulty of problems made it more challenging and enjoying.

Get trained rigorously in the R language with this certification course by Johns Hopkins University. Understand how to handle complex data, build R packages and develop custom data visualizations. It has been developed and taught by Roger D. Peng, PhD Associate Professor, Biostatistics and Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences.

Key USPs –

– Learn modern software development practices

– Even beginners with no prior R experience can enroll

– Includes video and reading material

– Bundle of 5 courses to take you through all details of R

– Get certified

Rating : 4.4 out of 5

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Review – This course is fantastic. It explains two very important concepts – Functional Programming and Object Oriented Programming in simple yet detailed manner. Assignments are helpful in finetuning the OOP concepts. After completion of this course, I am pretty comfortable with R as a program

In this course Instructor, Barton Poulson introduces you to the statistical processing language R. Commence with installing R on your computer before going ahead with the lessons. The lectures cover topics such as reading data from SPSS and spreadsheets and using packages for advanced R functions. In addition to this, learn to create charts and plots, check statistical assumptions and reliability of the data. End the lessons with lectures on how to share the data insights with the help of presentations, web pages and graphs.

Key USPs-

– The videos guide you through all the fundamental concepts beginning from the introductions to handling the final results.

– The lectures include a detailed explanation of how to get started with the exercises.

– Exercises are available for online practice as well as for download.

– The option of ‘view offline’ allows you to attend classes without the internet and on the go.

– The training is divided into 6 sections along with relevant exercises.

– The complete study material is available for free for a month.

– The viewers of this training include students, information technology consultants, business analysts and many more.

Duration: 2 hours 25 minutes

Rating : 4.6 out of 5

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Those who want to really dive deep into R will find this course very useful. The trainer Kirill Eremenko will help you take your R & R Studio skills to the next level. Learn all about data analytics, data science, statistical analysis in business, GGPlot2 with reference to R and R Studio.

Key USPs –

– Advance level course for those wanting to skill up

– Learn with unique datasets designed with years of industry experience,

– Engaging exercises all the way that will help you correlate analytics in the real world

– Trainer breaks down the session and teaches you step by step along with detailed explanation

– Training is a lot of fun along with the serious learning it intends to deliver

Rating : 4.7 out of 5

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Very detailed with lots of clarifying, detailed commentary about what you are being instructed to do! I would suggest this to anyone wanting to get more familiar with R and Data Science. Great course! – Pete Antonio Olivarez

Learn basic statistical analyses using the R program in this course created by Bogdan Anastasiei, who teaches quantitative methods for business at the University of Iasi, Romania. With his 20 years of teaching experience, he offers some great insights beyond regular training as well.

Key USPs of the program –

– Learn to manipulate data in R (filter and sort data sets, recode and compute variables)

– Learn to determine skewness and kurtosis

– Learn to create histograms and cumulative frequency charts

– Crash course of 3 hours for those short on time

– Includes 13 supplemental resources, 12 articles and comes with full lifetime access

Rating : 4.4 out of 5

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Review : Great course! Instructor is experienced and gives clear and concise instructions and explanations. Highly recommend to anyone looking to begin learning statistics with R. – Gabriel Rudansky

With a total of 14 courses, this platform has compiled a list of training that will come in handy if you are looking forward to work on your R programming development skills. The various courses focus on different aspects of using this language in various fields in varied methods. If you are looking for courses to strengthen your fundamentals then there are lectures based on R programming fundamentals, data science with R, data visualization and more. There are many programs that focus on using R in different fields such as machine learning, data management, and analysis to name a few. By the end of your chosen course, you will have the confidence and skills to implement the acquired knowledge in different projects.

Key USPs-

– This series of courses have learning options for everyone no matter what their experience level is.

– Implement the concepts covered in the lessons by working with different features and writing code.

– Work on multiple platforms such as Microsoft Data Platform, RStudio and develop Spark applications using Cloudera, Python, and Scala.

– Install, configure the necessary software and tools required to follow the lessons.

– The course that you enroll for can be accessed for free for the trial period of the first ten days.

Duration: Self-paced

Rating : 4.6 out of 5

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‘Lunchbreak Lessons’ is designed to teach you one of the most famous programming languages for data analysis and reporting. Go over language basics, discover methods to improve existing R code, explore new and interesting features and learn about useful development tools and libraries that will give you the opportunity to make the experience much more productive. Upon the completion of this program, you will have the knowledge and confidence to write your own code and solve real-world challenges.

Key USPs-

– As this is a beginner + intermediate level course, therefore, some basic knowledge of the basic concepts may be beneficial.

– Implement the concepts covered in the lessons by attempting the practical assignments using this language.

– There is an option of ‘view offline’ that allows you to view lectures without the internet and as per your convenience.

– The training is divided into appropriate sections along with quizzes and exercises.

– The complete study content is available for free.

Duration: 2 hours 46 minute

Rating : 4.6 out of 5

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12. Introduction to Neurohacking In R by Johns Hopkins University (Coursera)

Neurohacking is all about using R to perform manipulation, processing, and analysis of neuroimaging data. This course will focus on structural magnetic resonance imaging (MRI) and discuss concepts such as inhomogeneity correction, image registration, and image visualization. It is taught by Dr. Elizabeth Sweeney, Rice Academy Postdoctoral Fellow Biostatistics; Ciprian M. Crainiceanu, Professor Biostatstics; John Muschelli III , Assistant Scientist.

Key USPs –

– Learn to Read/write images of the brain in the NIfTI (Neuroimaging Informatics Technology Initiative) format

– Visualize and explore these images Perform inhomogeneity correction, brain extraction, and image registration

– 4 week course with 2-4 hour investment required each week

– Earn a certificate at completion of course

Rating : 4.6 out of 5

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Review – Very comprehensive step-by-step introduction to imaging analyses using R. Also includes helpful information on the nature of files and processes. I am not sure that I will do my imaging analyses using R but still found this to be a very useful introduction to the topic.

R is becoming one of the most popular programming languages in the IT industry, especially in the data science field. If you’re also among those who want to make a career in the Data Science field, then this course is the right fit for you. This course will teach you the foundational data science programming tools like SQL, R, and Git, that will allow you to tackle real-world data analysis problems. Also, this program is integrated with multiple real-world projects that will help you test your knowledge and improve your skills. This course is a part of The School of Programming program provided by Udacity, which means you can enroll yourself in other nano degree programs after completing this course.

Key USPs –

– An effective Nano degree program to involve yourself in learning programming for Data Science with R

– Learn the fundamentals of R programming, such as variables, loops, and functions

– Know the use of version control and share your work with other people in the data science industry

– Get access to a one-on-one technical mentor to help you learn the subject more deeply with practice exercises

– Flexible learning from any place with access to the course content on any device

Duration: 3 months, 10 hours/week

Rating: 4.5 out of 5

You can Sign up Here

So folks that was our take on Best R Programming Courses, Tutotorials, Training and Certifications. Hope you found what you were looking for. Do share this with your friends to help them too and sign up on our website with your email id if you want to keep getting updates about the best courses on web development and a variety of other subjects.