9 Best R Programming Certification, Tutorial, Course & Training [2018]

Best R Programming Courses, Certifications, Tutorials and Training

R, the free programming language for statistical computing and graphics is fast gaining popularity and prominence among developers worldwide. Many today choose R over Python and other languages. With this growing interest, we thought it will be nice to help you find the best tutorial, courses and training on the subject. Remember that regardless of whether you are an absolute beginner, an intermediate or an expert, we have you covered.

 

9 Best R Programming Certification, Tutorial, Course and Training Online [2018]

 

1. R Programming Tutorial A-Z™: R For Data Science With Real Exercises

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.

 

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. You can Sign up Here.

 

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

 

2. R Programming Certification by John Hopkins University

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. You can Sign up Here.

 

Review – Great course to learn the basics!

 

3. Statistics with R Certification by Duke University

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.

 

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. You can Sign up Here.

 

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.

 

Check out this presentation by Mr Hadley Wickham from Rice University about “Expressing yourself in R”

 

 4. Data Science and Analytics using R programming

Prof. Sameer Mathur has a Ph.D. & M.S. from the renowned Carnegie Mellon University, USA and he is currently a professor at the globally acclaimed Indian Institute of Management (IIM), India. This training program by him will help you learn to Describe, Visualize and Analyze data using R along with basic Statistical Inference and Regression Methods. You will need to have some prior programming experience (any language) and basic level understanding of higher mathematics to take this course up.

Key USPs –

– Learn all about R Packages – finding them, installing them and using them in R

– Learn Statistical methods for analyzing relationships between two variables

– Learn basic Statistical Inference and Regression Methods using R

– 5.5 hours of on demand video + 16 supplemental resources

 

Rating : 4.4 out of 5. You can Sign up Here.

 

Review : This was an intense online course which gave me good insight into the field of data analytics specifically in the field of data visualization. The R programming included as part of this course was helpful to me in understanding statistical analysis. – Arnav Ajay Deshpande

 

5. Data Science and Machine Learning Bootcamp with R

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.

 

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. You can Sign up Here.

 

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

6. Statistics with R – Beginner Level

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. You can Sign up Here.

 

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

 

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

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. You can Sign up Here.

 

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

 

8. Introduction to Neurohacking In R by John Hopkins University

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. You can Sign up Here.

 

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.

9. Mastering Software Development in R Specialization by John Hopkins University

Get trained rigorously in the R language with this certification course by John 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. You can Sign up Here.

 

Review – This course is fantastic. It explains two very important concepts – Functional Programing and Object Oriented Programing 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

 

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. Also, if you are interested, do check out Best Python Certification and Best Data Science Tutorial.

 

 

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