Best R Programming Courses Online & Certification (March 2023)

• R Programming Certification by Johns Hopkins University [Coursera]
  
  
• Programming for Data Science with R Nanodegree Certification [Udacity]
  
  
• Software Development in R Certification by Johns Hopkins University [Coursera]
  
  
• Statistics with R Certification by Duke University [Coursera]
  
  
• R Programming A-Z™: R For Data Science With Real Exercises! [Udemy]
  
  
• Data Science and Machine Learning Bootcamp with R [Udemy]
  
  
• R Training Course Online [LinkedIn Learning]
  
  
• Data Science: R Basics Certificate by Harvard University [edX]
  
  
• R Programming: Advanced Analytics In R For Data Science [Udemy]

Besides Python, data scientists use the high-level programming language R. As per the TOBI index, R has ranked 14th in the list of most popular languages in 2021 for tackling both unstructured and structured data. It is also popular as a specially designed free software for statisticians to analyze data. It is not only open-source but also cross-platform. Learning R offers a statistical computing environment to visualize patterns in data sets and take data-driven business decisions.

If you are not aware of what R is and how it is changing the world, check out the list of Best R Courses Online to upgrade your career growth.

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Best R Programming Courses, Certification, Tutorials, Training, Classes Online

R Programming Certification by Johns Hopkins University [Coursera]

Coursera R Programming Course provides a platform to learn writing R programs. It will teach you an approach to use R for data analysis. You will know how to install and configure the software necessary for a statistical programming environment. This R Programming Certification will cover practical issues in statistical computing, including programming/ reading data, accessing R packages, writing codes, and debugging them.

Roger D.Peng, Jeff Leek, and Brian Caffo are the instructor and creators of this R Professional Certificate for students to specialize in R language and enhance the power of programming. There are other two courses included in this specialization which you can opt for after completing this one.

Key Highlights & USPs

• Learn basics of R programming and describe the function of reading & writing data.
  
  
• Write your first program and understand the syntax.
  
  
• How to use loops and functions in programs.
  
  
• How to do simulation and profiling in R.
  
  
• Practice statistical data analysis with working examples.
  
  
• Get free access to 18 readings, 55 videos, and 21 quizzes for improving your critical programming skill.

Who is it for?

This Best R Programming Online Course is for learners familiar with regression. It is an intermediate-level course that helps you with the steeping curve of learning R programming. You can start your own anytime. You will become proficient in R and receive a certificate from Coursera. You will enable to showcase the skills you gained. Enroll now for free!

Programming for Data Science with R Nanodegree Certification [Udacity]

Want to learn R for Data Science? Take a look at this R Nanodegree Certification from Udacity. You can prepare yourself for a data science career by learning the programming tools like R, SQL, command line, and Git. It will help you develop a lucrative career and find a job in the high-tech market. With this R Nanodegree Program, you get to work on real-world projects and data handling challenges.

This R for Data Science Course is professionally designed by experienced data scientists and command line instructors. You will be able to learn everything with proper technical mentor support. This Certification Program will improve your performance and keep you on track.

Key Highlights & USPs

• Learn fundamentals of SQL such as JOINS, Aggregations, and subqueries.
  
  
• How to use SQL for solving complex business problems.
  
  
• Understand R programming basics such as data structures, variables, loops, and functions.
  
  
• Able to visualize the data using library gg plot 2.
  
  
• Use version control and share your work in the data science industry.
  
  
• Provide unlimited access to practical tips, quizzes, and three projects to get the best practical experience.

Who is it for?

There are no mandatory prerequisites except for basic computer skills to enroll in this Udacity Nanodegree Program. Though, you should also feel comfortable performing operations like installing the software. In the end, you will get career services to lead in the job market.

Software Development in R Certification by Johns Hopkins University [Coursera]

This R Specialization with Certification offers you a platform to build R software development skills and use it for data science tools. You will get rigorous training in the R language for handling complex data and developing custom data visualizations. It builds the foundational knowledge of using R libraries for data manipulation and constructs tools for data scientists or developers.

Roger D.Peng and Brooke Anderson are the creators of this Coursera R Course from John Hopkins University. This program is for data analysts to gain a firm grasp on software development skills and data scientists able to scale their programming knowledge.

Key Highlights & USPs

• Learn basic R concepts to clean, process, and manipulate complex data sets.
  
  
• Understand advanced R programming for developing robust, reusable, and powerful data science tools.
  
  
• Enable to define new data types in R and execute complicated data science tasks.
  
  
• Able to write R codes for building cross-platform software, continuous integration tools, and distributing packages via CRAN & GitHub.
  
  
• Describe how to use ggplot2 for creating data visualization.
  
  
• Get to work on the Capstone Project and manage the real-world case studies.

Who is it for?

Data Analysts, Data Scientists, and Developers are eligible to enroll in one of the Best R Free Courses. Some programming experience and knowledge of algebra are necessary for taking this R training program . When you finish the specialization and complete the capstone project, you will get accredited with a printable and shareable certificate to display the acquired expertise to your professional network.

Statistics with R Certification by Duke University [Coursera]

Master R with this Certification Program from Duke University. You will learn how to analyze and visualize data in R. It will demonstrate statistical inference, data modeling, and Bayesian approaches to make data-based decisions. You understand how to communicate statistical results without relying on statistical jargon. This complete R Course for Data Analysis will elaborate how to wrangle the data using R packages.

These Statistics with R Specialization Courses are combined to teach Statistical Science. Professional instructors like Mine Cetinkaya, David Banks, Colin Rundel, and Merlise A Clyde created this program to train you for the field of Statistics and R programming. It consists of 5 courses to improve your skills. That will further get your job opportunities and introduce you to the world of Data Science and Machine Learning.

Key Highlights & USPs

• Introduce you to basic probability theory and exploratory data analysis.
  
  
• Learn to install R studio and use it for lab projects.
  
  
• Get practical tools for performing data analysis and explore the fundamental concepts for interpreting numerical data.
  
  
• Understand how linear regression models work.
  
  
• Discover Bayesian statistics for transforming prior probabilities into posterior probabilities.
  
  
• Get the capstone project to analyze data using R methods and answer specific business questions.

Who is it for?

No prior experience is required to attain this R course online for free. You must have a genuine interest in pursuing data analysis. You should know statistics and R programming. It is mandatory to take all the courses in a specific order. After completing, you will get recognition as a R programmer in the form of a certificate from Coursera. Enroll now for free

R Programming A-Z™: R For Data Science With Real Exercises! [Udemy]

Are you overwhelmed with the R programming language? Udemy brings you a step-by-step R Programming tutorial. So you can get a grasp on every concept of R and learn thoroughly without missing anything. It will teach how to use R for data science, data analytics, and statistical analysis. This R Programming Course is full of packages, functions, and GGPlot2.

Kirill Eremenko, a Data Scientist, will help you with this R Programming A-Z Course. He has years of experience in the Data Science field and professionally guides the students. The Ligency Team and Kirill created the training program to train for real-life analytical challenges

Key Highlights & USPs

• Learn the core principles of R and how to write programs.
  
  
• Understand how to use functions, loops, and variables in R Source Codes.
  
  
• How to use and customize R studio as per your preferences.
  
  
• How to install packages and create vectors in R.
  
  
• Enough exercises to practice collecting the financial, statistical, and sports data using R.
  
  
• Get full lifetime access to 10.5 hours of on-demand video and six articles to improve the core knowledge.

Who is it for?

Are you looking for excitement? This R programming course syllabus is suitable and simple to catch. It only needs the willingness to study complicated R courses. Having a prior degree in R is not mandatory. You will earn a certificate of completion at the end. It gives you a boost in your career.

Data Science and Machine Learning Bootcamp with R [Udemy]

This Data Science with R Course offers you an opportunity to learn R fundamentals and write code from scratch. You will understand how to create data visualizations and use machine learning using R. You can advance your knowledge by learning about R features, data frames, data visualization, and SQL. Able to launch your career as an R programmer or data scientist.

Jose Portilla is the creator and instructor of this best R programming course on Udemy. It will start with absolute basics and take all the way to teach advanced concepts like data structures and machine learning models using R. You get the chance to work on exercises and projects to test your acquired knowledge.

Key Highlights & USPs

• How to write your first program in R programming.
  
  
• Create interactive data visualizations and visualize the data using ggplot2.
  
  
• How to use R to handle excel files and for web scraping to extract information.
  
  
• Learn to use R for data analysis and data science.
  
  
• Able to write machine learning algorithms using R.
  
  
• Get over 100 HD video lectures and detailed code notebooks.
  
  
• Full lifetime access to 17 hours of on-demand video, three downloadable resources, and nine articles.

Who is it for?

Anyone can take this learning R programming Course for beginners. You only have to be interested in becoming a data scientist. After completing all projects and assignments, get recognized by a certificate which you can share on your LinkedIn profile.

R Training Course Online [LinkedIn Learning]

Pluralsight has a series of R programming Courses and Tutorials for you. There are many options to start learning R. All the courses are for different skill levels so that any learner can choose as per their career requirements and sole purposes. These R Programming Courses are short and easy to understand. You can cover concepts like Statistical Models in R, data analysis, machine learning, and deep learning.

This Pluralsight R Course ensures students with valuable skill sets. A series of R tutorials and programming classes are available to prepare you for the future IT market. It offers the stage to master the art of solving problems using statistical computing and Exploratory Data Analysis.

Key Highlights & USPs

• How to data science and Data Visualization with R.
  
  
• How to program with R matrices, lists, and arrays.
  
  
• Learn to build R analytics solutions and reshape data with R.
  
  
• Creating and debugging R programs.
  
  
• How to analyze data and scrape media from the web using R.

Who is it for?

It is one of the most recommended online platforms for taking R training. Before enrolling in the intermediate and advanced courses, you need to have basic high-school math knowledge and basic R programming. By the end, you become a proficient member of the world of R.

Data Science: R Basics Certificate by Harvard University [edX]

Edx provides a complete specialization program in Data Science. This Data Science with R Basics Course is the first part of the professional certificate program in Data Science. It will introduce you to the key concepts of R programming. You get trained in R to tackle problems using real-world data sets. It gives a must-learn opportunity to add R skill to answer essential questions.

Rafael Irizarry is the instructor and creator of this Harvard Data Science Course using R. It is designed to enable learners for more in-depth courses and prepare to apply R programming for wrangling, analyzing, and visualizing the data.

Key Highlights & USPs

• Learn foundational programming concepts such as data types, vector arithmetic, and indexing.
  
  
• Understand R concepts including, probability inference, regression, and machine learning.
  
  
• Develop skill sets such as R programming, data wrangling with dplyr, data visualization with ggplot2, and so on.
  
  
• Build a strong foundation of working with R studio and performing analysis.
  
  
• Perform operations like sorting, analyzing, and visualizing the data using plots.
  
  
• Sharpen the acquired knowledge by clearing the graded assignments and passing the exams.

Who is it for?

If you are eager to become a data scientist, this R for Data Science Course is suitable for you. Having familiarity with data science and programming would be beneficial. It is an introductory-level course that anyone can enroll in for free. You will be a verified R programmer with a certificate upon completion.

R Programming: Advanced Analytics In R For Data Science [Udemy]

R programming is the most popular language for handling statistical data. With this R Course Udemy, you can truly become a pro in data science and analytics with R. It will help you take programming skills to the next level. This advanced analytic Course is divided into three sections to tell you how R is used widely by various industries for data analysis. You will get a better overview of how to handle data-driven tasks.

Kirill Eremenko and the Ligency Team have created this Advanced R Programming Course. At the end of every module, you will strengthen theoretical and practical knowledge to lead a data science career. You will get real-life case studies, professional video training, and engaging exercises to give a taste of Analytics.

Key Highlights & USPs

• How to perform data preparation in R and locate missing data in data frames.
  
  
• Know how to apply the factual analysis method and reset the data frame index.
  
  
• Learn to work with the financial data, clean it up, and prepare it for analysis.
  
  
• Create charts showing revenues, expenses, and profits for industries.
  
  
• Understand how coal machines underutilize by preparing data analysis tasks.
  
  
• Discover R programming methods used by the meteorology bureau for understanding weather patterns.
  
  
• Provide unlimited access to 6 hours of on-demand video and five articles to boost your confidence.

Who is it for?

Any Professional or programmer can apply for this Intermediate R course with basic knowledge. If you have already completed the R programming A-Z Course from Udemy, take this program with no worry. You will receive a certificate of completion from Udemy. You can attach it with your resume and help you to switch your career.

Final Words

In conclusion, it’s a good language for you if you aim to become a professional data scientist. There’s nothing to lose to study R fundamentals online under the guidance of instructors. I hope you find a course to build the required skills to impress prospective employers.

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