10 Best R Programming Certifications & Courses Online in 2022

Coding is the future and this field is growing at a very fast rate everyday. The best part of learning coding is that it keeps on evolving and growing at every aspect. Big authorities and companies require programmers to develop their websites and run their businesses and networking online. One of the most trending and in-demand programming language is the R software. R Programming refers to a statistical programming language that is used for building probabilistic models, performing data science, and building machine learning algorithms. Professionals having advanced knowledge of R can become R Programmers. Moreover, these programmers coordinate with end-users for designing and implementing analytics solutions as per the project. The job of a R Programmer is a challenging one and requires a lot of dedication as well as creative mind to perform complex coding. And, also provide technical assistance for the development and execution of test plans. Further, in this blog we will look at some of the best R Programming online courses and certifications to help our users get the best for their career.

Discussing the 10 Best R Programming Certifications & Courses Online in 2022

We understand the importance and the need to choose the right learning path to become a R Programmer. It is definitely not an easy path to take but it is neither impossible. The major point to focus on is whether you choose the right path or not. The web is filled with numerous courses but choosing the right one which suits your requirement is quite a difficult task. Therefore, we along with our experts researched and tried to present you with our best knowledge regarding the 10 best R Programming online courses and certifications. So without wasting more time below are some of the best and latest certification courses that you desire.

Now, let’s discuss the 10 Best R Programming Certifications & Courses Online in 2022!

1. Vskills Certificate in R Programming

Vskills Certificate in R Programming

This Vskills Certified in R Programming is recognized by the Government of India. This is one of the best certification courses you’ll find on the internet. The best part of this certification is that it is recognized by the Government of India and holds a special reputation among the big companies. This course claims that it will cover advanced-level concepts in R programming and demonstrate industry best practices. This is an advanced R course with an intensive focus on machine learning concepts in depth and applying them in the real world with R. This certification course will benefit data science professionals, data analysts, and students who want to learn R programming. Moreover, you’ll also solve numerous coding challenges throughout the course.

Course Outline:

  • R Language Basics
  • Introduction to Statistics
  • Introduction to Probability
  • Regression Modelling
  • Classification Models
  • Machine Learning
  • Unsupervised Learning
  • Time Series Analysis and Forecasting
  • Text Analytics
  • ggplot2
  • Speeding Up R Code

Reasons to take this course:

  • Vskills is a Government Certified body that adds value to your resume itself.
  • The Certification is valid throughout your life.
  • No prior knowledge required.
  • Get access to free Practice Tests.
  • Both Professionals as well as begineers can take this course without any second thought.
  • Candidates get tagged as ‘Vskills Certified’ On Monsterindia.com and  ‘Vskills Certified’ On Shine Shine.com for better job opportunities.
  • This course is available online including online learning material and hard copy at your door steps.
  • You can take your exam at any time of your convenience.
  • 18 fruitfull Learning hours.

More Details:

Duration of course: 18 hours

Rating: 5 out of 5

Click here to Sign up

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

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

This R Programming course is meant for beginners as well as professionals. Moreover, you don’t require any prior experience to take this course. This course is offered by Udemy for all aspiring learners who want to learn about programming in R. The course claims that the learners will learn how to create a while() loop and a for() loop in R, how to use R Studio, how to install packages in R, how to customize R studio to suit your preferences, and many more. Moreover, this training is packed with real-life analytical challenges which you will learn to solve. Moreover, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course.

Course Outline:

  • Hit the ground running
  • Core programming principles
  • Fundamentals of R
  • Matrices
  • Data Frames
  • Advanced Visulaization with GGPlot2
  • Homework Solutions

Reasons to take this course:

  • Get to learn from the very basic to advance level of R Development.
  • Get lifetime access to the video lectures.
  • Learn from the best instructors.
  • Get the courses at a very nominal price.
  • Learn at your own pace.
  • Get assessment test to validate your skills.

More Details:

Duration of course: 10.5 hours

Rating: 4.6 out of 5

Click here to Sign up

3. R Programming Certification from Johns Hopkins University (Coursera)

R Programming Certification from Johns Hopkins University (Coursera)

Coursera is offering this course in R programming in collaboration with John Hopkins University. This is an intermediate-level course prepared by top instructors from John Hopkins University. This course claims that you will learn how to program in R and how to use R for effective data analysis. Moreover, you will also learn practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples. Also, you can apply for financial aid and complete these courses for free and earn certificates that can be shared everywhere.

Course Outline:

  • Background, Getting Started, and Nuts & Bolts
  • Programming with R
  • Loop Functions and Debugging
  • Simulation & Profiling

Reasons to take this course:

  • Financial aid to students who cannot afford the cost of the course.
  • Learn to achieve specialization in the field.
  • Learn from the top universities in the world.

More Details:

Duration of course: 57 hours

Rating: 4.5 out of 5

Click here to Sign up

4. Programming for Data Science with R Nanodegree Program (Udacity)

Programming for Data Science with R Nanodegree Program (Udacity)

This 3 month-long program is offered by Udacity and is prepared for learners who want to build their career in Data science by teaching them the fundamental data programming tools of R, SQL, command line, and git. Moreover, this is an introductory level program that is divided into 3 modules, namely Introduction to SQL, Introduction to R Programming, and the introduction to Version Control. During the course of the program, you’ll complete three projects, with a focus on the R language. Additionally, you will learn how to write your own custom functions, write scripts, and handle errors. Data visualization using R libraries is also covered in depth.

Course Outline:

  • Introduction to SQL
  • Introduction to R Programming
  • Lastly, Introduction to Version Control

Reasons to take this course:

  • Get to take real-world projects from industry experts.
  • Learn at your own pace.
  • Learn the most important programming languages (R and SQL) used by the data scientists.
  • No prior experience requirement to enrol for the program.

More Details:

Duration of course: 3 months

Rating: 4.5 out of 5

Click here to Sign up

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

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

This course is offered by the world’s top-ranking university, that is, Harvard University. This course will cover R’s functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data. This certification will add value to your resume and will give you practical experience. Moreover, the course will cover concepts like probability, inference, regression, and machine learning.

Course Outline:

  • Basic R syntax
  • Foundational R programming concepts such as data types, vectors arithmetic, and indexing
  • How to perform operations in R including sorting, data wrangling using dplyr, and making plots

Reasons to take this course:

  • No prerequisites required.
  • Beginner to advance level course.
  • Free of cost.
  • Learn at your own pace.

More Details:

Duration of course: 8 weeks

Rating: 4.6 out of 5

Click here to Sign up

6. Learning R (LinkedIn Learning)

Learning R (LinkedIn Learning)

This course is prepared by Barton Poulson in collaboration with LinkedIn Learning. This short course is for beginners as well as professionals already working in this field. Beginners can get an overview of this field and can then look over more advanced courses. This course claims that learners will be given a brief of R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions. Moreover, you’ll get examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools.

Course Outline:

  • What is R?
  • Getting Started
  • Charts and Statistics for One Variable
  • Modifying Data
  • Charts for Associations
  • Statistics for Associations

Reasons to take this course:

  • Designed and created by some of the best instructors of LinkedIn Learning.
  • Learn at your own pace.
  • Variety of exercises to practice the concepts covered in the lectures.
  • Free access to courses for the first 30 days.
  • Learn writing skills from the very basics to advance level.

More Details:

Duration of course: 2.5 hours

Rating: 4.6 out of 5

Click here to Sign up

7. Learn R from Scratch (Educative)

Learn R from Scratch (Educative)

This course is a text-based interactive course from Educative. Reading is generally faster than watching and that’s why I would prefer a text-based course. You will be able to run the code directly in your browser. Moreover, you do not require any prior knowledge or experience to start this course. You will also get the opportunity to test your learnings and skills via eight quizzes. You’ll start with the very basics and work your way up to advanced concepts like exception handling.

Course Outline:

  • Getting Started
  • Variables
  • Exploring R Objects
  • R Operators and Notation
  • Conditional Statements
  • Loops
  • Functions
  • Input/Output
  • Fun Challenges

Reasons to take this course:

  • Hands-on coding environments
  • No set-up required
  • Get 8 quizzes to practice your skills

More Details:

Duration of course: 10 hours

Rating: 4.3 out of 5

Click here to Sign up

8. Beginning Data Visualization with R (Pluralsight)

Beginning Data Visualization with R (Pluralsight)

Pluralsight is an online platform for delivering world-class technical education in the field of Software development, IT ops, Information and cybersecurity, the Data profession, and many many more things. The best part of this certification is that you will get a 1-month free trial so you can take advantage of this opportunity and complete the course for free. In this course, you will learn how to answer questions about your data by creating data visualizations with R. Moreover, you will get an interactive programming environment and data visualization capabilities to make R an ideal tool for creating a wide variety of data visualizations.

Course Outline:

  • Introduction
  • To begin with, Visualizing One Categorical Variable
  • Visualizing One Numeric Variable
  • Visualizing Two Categorical Variables
  • Moving Beyond the Basics
  • Visualizing Two Numeric Variables
  • Visualizing Both a Categorical and a Numeric Variable

Reasons to take this course:

  • Practice and apply knowledge faster in real-world scenarios with projects and interactive courses.
  • Learn how to create data visualizations with R.
  • Beginners level course.

More Details:

Duration of course: 3 hours

Rating: 4.5 out of 5

Click here to Sign up

9. R Programming A-Z™: R For Data Science With Real Exercises! (Skillshare)

R Programming A-Z™: R For Data Science With Real Exercises! (Skillshare)

This course is prepared by Kirill Eremenko, one of the most reputed Data Scientists and instructors at Skillshare. This course is truly step-by-step. In every new tutorial, we build on what had already been learned and move one extra step forward. This course has been designed for all skill levels and you do not require any prior work and knowledge experience. This is completely a beginner-level course that will help you attain specialization in R Programming. Overall, this is a very good course to begin your coding journey.

Course Outline:

  • Welcome to the R Programming Course!
  • Installing R and R Studio (MAC & Windows)
  • Types of variables
  • Using Variables
  • Logical Variables and Operators
  • The “While” Loop, and so on

Reasons to take this course:

  • Get unlimited access to every class
  • Taught by industry leaders and working professionals
  • Get one class project
  • Learn at your own pace

More Details:

Duration of course: 10 hours

Rating: 4.7 out of 5

Click here to Sign up

10. R Programming for Data Science (Alison)

R Programming for Data Science (Alison)

This course is specially intended for beginners who want to start their career in the Programming. The course is offered by Alison, one of the first platforms to offer MOOCs (massive online open courses). The course claims that you will learn various methods and functions of the R programming language in this free online course and the role it can play in the field of data science. Moreover, you’ll be able to plot in R, describe data science and Big data, modify data, etc. Also, all alison courses are free to enroll, study and complete. Overall, it is a good course for beginners.

Course Outline:

  • Basics of R Programming Language
  • Controlled flow and Functions in R
  • Data Manipulation and Visulaization in R
  • Course Assessment

Reasons to take this course:

  • Free Course
  • Certificate available with a nominal fee
  • 6-10 hours of learning
  • Fit for beginners

More Details:

Duration of course: 6-10 hours

Rating: 4.8 out of 5

Click here to Sign up

We are at the end of the blog. And we hope you have found your ideal course and will kick start your career in R Programming as soon as possible. We’ve tried our best to present you with the best sources and wish you all the best for your future and career. Happy Learning!

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