R programming 25+ Best & Free certification courses - Learn R

1. R Programming | Offered by "Johns Hopkins University" (Coursera)
2. Introduction to R Programming for Data Science | Offered by "IBM" (Coursera)
3. R Programming A-Z™: R For Data Science With Real Exercises (Udemy)
4. R Programming: Advanced Analytics In R For Data Science (Udemy)
5. Data Science and Machine Learning Bootcamp with R (Udemy)
6. R Programming Fundamentals (edx)
7. R for Data Science: Lunchbreak Lessons (Linkedin)
8. Programming for Data Science with R | NANODEGREE PROGRAM (Udacity)
9. Data Science: Foundations using R Specialization | Offered by "Johns Hopkins University" (Coursera)
10. R Programming For Absolute Beginners (Udemy)

R programming Certification Learn complete R programming from scratch for Data Science With Real Exercises, best R certification courses online from top online learning platforms › Udemy | › Coursera | › edx | › Linkedin learning | › Udacity | › Alison .

** Learn R programming for free or at low cost .

** Gain Certificate of completion.

All Udemy's R programming online certification Courses

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

4.6 (40,435+ ratings) | 207,147+ students | 10.5 hours on-demand video | Certificate of completion | 30-Day Money-Back Guarantee.

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2. Learn about integer, double, logical, character and other types in R.

Learn to program in R at a good level. Learn the core principles of programming. Learn how to create variables. Learn how to create a while() loop and a for() loop in R.

Link: https://www.udemy.com/course/r-programming


2. › R Programming: Advanced Analytics In R For Data Science (Udemy)

4.6 (6,992+ ratings) | 50,189+ students | 6 hours on-demand video | Certificate of completion | 30-Day Money-Back Guarantee.

Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2.

Perform Data Preparation in R. Locate missing data in your dataframes. Apply the Factual Analysis method to replace missing records. Know how to reset the dataframe index.

Link: https://www.udemy.com/course/r-analytics


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

4.7 (13,165+ ratings) | 69,028+ students | 17.5 hours on-demand video | Certificate of completion | 30-Day Money-Back Guarantee.

Learn how to use the R programming language for data science and machine learning and data visualization.

Program in R. Create Data Visualizations. Use R to manipulate data easily. Use R for Data Analysis. Use R to handle csv,excel,SQL files or web scraping.

Link: https://www.udemy.com/course/data-science-and-machine-learning-bootcamp-with-r


4. › R Programming for Statistics and Data Science 2021 (Udemy)

4.6 (3,173+ ratings) | 18,654+ students | 6.5 hours on-demand video | Certificate of completion | 30-Day Money-Back Guarantee.

Learn the fundamentals of programming in R. Build your own functions in R. Learn the core tools for data science with R. Systematically explore data in R.

Work with R’s conditional statements, functions, and loops. Get your data in and out of R. Manipulate data with the Tidyverse ecosystem of packages.

Link: https://www.udemy.com/course/r-programming-for-statistics-and-data-science


5. › R Programming For Absolute Beginners (Udemy)

4.5 (2,410+ ratings) | 118,633+ students | 9.5 hours on-demand video | Certificate of completion | 30-Day Money-Back Guarantee.

Learn the basics of writing code in R - your first step to become a data scientist. Work with vectors, matrices and lists.

Manage data frames. Build their own functions and binary operations. Create charts in base R. Write complex programming structures (loops and conditional statements).

Link: https://www.udemy.com/course/r-programming-course-for-absolute-beginners


6. › Complete Machine Learning with R Studio - ML for 2021 (Udemy)

4.6 (1,410+ ratings) | 179,522+ students | 13 hours on-demand video | Certificate of completion | 30-Day Money-Back Guarantee.

Learn how to solve real life problem using the Machine learning techniques. Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc..

Understanding of basics of statistics and concepts of Machine Learning. How to do basic statistical operations and run ML models in R.

Link: https://www.udemy.com/course/machine-learning-with-r-studio


7. › R Programming for Data Science and Machine Learning (Udemy)

4.8 (38+ ratings) | 7,295+ students | 13.5 hours on-demand video | Certificate of completion | 30-Day Money-Back Guarantee.

Learn to program in R at a good level and how to use R Studio. Learn how to create vectors in R. Learn Data types in R.

Learn how to build and use matrices in R. Learn to use Factors in R. Learn how to install packages in R. Learn the core principles of R programming.

Link: https://www.udemy.com/course/r-for-data-science-and-machine-learning


8. › R Programming – Hacks and Automation (Udemy)

4.9 (16+ ratings) | 92+ students | 7 hours on-demand video | Certificate of completion | 30-Day Money-Back Guarantee.

Gain new knowledge about R programming you wouldn't intuitively imagine - Extensive use of the tidyverse packages.

Learn How to do file management operation like copying and pasting files, deleting them, creating new directories and more and combining these operations with loops. How to loop with the maps family of functions.

Link: https://www.udemy.com/course/r-programming-hacks-and-automation

 

Best Coursera's R programming Courses & Tutorials

1. › Data Science: Foundations using R Specialization | Offered by "Johns Hopkins University" (Coursera)

4.6 (4,850+ ratings) | Enroll for free | 76,527+ already enrolled | Approximately 5 months to complete | Certificate of completion.

You will learn to Use R to clean, analyze, and visualize data. Use GitHub to manage data science projects.

Learn how to ask the right questions, obtain data, and perform reproducible research. Set up R, R-Studio, Github and other useful tools.

Link: https://www.coursera.org/specializations/data-science-foundations-r


2. › R Programming | Offered by "Johns Hopkins University" (Coursera)

4.5 (20,891+ ratings) | Enroll for free | 611,074+ already enrolled | Approx. 57 hours to complete | Certificate of completion.

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts.

Understand critical programming language concepts. Make use of R loop functions and debugging tools. Configure statistical programming software.

Link: https://www.coursera.org/learn/r-programming


3. › Statistics with R Specialization | Offered by "Duke University" (Coursera)

4.7 (4,988+ ratings) | Enroll for free | 103,406+ already enrolled | Approximately 7 months to complete | Certificate of completion.

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions.

Introduction to Probability and Data with R. Inferential Statistics. Linear Regression and Modeling. Bayesian Statistics.

Link: https://www.coursera.org/specializations/statistics


4. › Data Visualization & Dashboarding with R Specialization (Coursera)

4.9 (77+ ratings) | Enroll for free | 2,567+ already enrolled | Approximately 4 months to complete | Certificate of completion.

This Specialization is intended for learners seeking to develop the ability to visualize data using R.

Getting Started with Data Visualization in R. Data Visualization in R with ggplot2. Advanced Data Visualization with R. Publishing Visualizations in R with Shiny and flexdashboard.

Link: https://www.coursera.org/specializations/jhu-data-visualization-dashboarding-with-r


5. › Introduction to R Programming for Data Science | Offered by "IBM" (Coursera)

Approx. 10 hours to complete | Enroll for free | Certificate of completion.

Manipulate numeric and textual data types using the R programming language and RStudio or Jupyter Notebooks. Control program flow, define functions, perform character string and date operations, define regular expressions, and handle errors.

Define and manipulate R data structures, including vectors, factors, lists, and data frames. Read, write, and save data files and scrape web pages using R.

Link: https://www.coursera.org/learn/introducton-r-programming-data-science


6. › Statistical Analysis with R for Public Health Specialization (Coursera)

4.7 (1,107+ ratings) | 16,375+ already enrolled | Approximately 4 months to complete | Certificate of completion.

You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges.

Link: https://www.coursera.org/specializations/statistical-analysis-r-public-health

 

Top edx's R programming online certification program

1. › Professional Certificate in Data Science from "Harvard university" (edx)

Expert instruction | Self-paced | 1 year 5 months.

Real-world case studies to jumpstart your career. Fundamental R programming skills.

Statistical concepts such as probability, inference, and modeling and how to apply them in practice. Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr.

Link: https://www.edx.org/professional-certificate/harvardx-data-science


2. › R Programming Fundamentals (edx)

Free to start | Estimated 6 weeks | Self-paced.

This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics.

This course covers an introduction to R, from installation to basic statistical functions.

Link: https://www.edx.org/course/r-programming-fundamentals


3. › Statistics and R (edx)

Free to start | Estimated 4 weeks | Self-paced.

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

Link: https://www.edx.org/course/statistics-and-r


4. › Data Science: R Basics (edx)

Free to start | Estimated 8 weeks | Self-paced.

Build a foundation in R and learn how to wrangle, analyze, and visualize data. How to perform operations in R including sorting, data wrangling using dplyr, and making plots.

Foundational R programming concepts such as data types, vectors arithmetic, and indexing.

Link: https://www.edx.org/course/data-science-r-basics

 

R programming -All Linkedin's R programming online training Courses

1. › Learning R (Linkedin)

4,074 members like this course | 96,980 learners | 2h 51m of content | Certificate of Completion.

The lessons explain how to get started with R, including installing R, RStudio, and code packages that extend R’s power. You also see first-hand how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.

Link: https://www.linkedin.com/learning/learning-r-2


2. › R Essential Training: Wrangling and Visualizing Data (Linkedin)

753 members like this course | 15,540 learners | 4h 18m of content | Certificate of Completion.

This training series provides a thorough introduction to R, with detailed instruction for installing and navigating R and RStudio and hands-on examples, from exploratory graphics to neural networks.

Learn how to create visualizations such as bar charts, histograms, and scatterplots and transform categorical, qualitative, and outlier data to best meet your research questions and the requirements of your algorithms.

Link: https://www.linkedin.com/learning/r-essential-training-wrangling-and-visualizing-data


3. › R for Data Science: Lunchbreak Lessons (Linkedin)

12,822 members like this course | 127,702 learners | 11h 44m of content | Certificate of Completion.

Review R programming language basics, discover methods to improve existing R code, explore new and interesting features, and learn about useful development tools and libraries that will make your time programming with R that much more productive.

Link: https://www.linkedin.com/learning/r-for-data-science-lunchbreak-lessons


4. › Data Visualization in R with ggplot2 (Linkedin)

4,485 members like this course | 72,000 learners | 2h 27m of content | Certificate of Completion.

Learn how to work with ggplot2 to create basic visualizations, how to beautify those visualizations by applying different aesthetics, and how to visualize data with maps.

Link: https://www.linkedin.com/learning/data-visualization-in-r-with-ggplot2


5. › R Programming in Data Science: High Volume Data (Linkedin)

1,088 members like this course | 25,591 learners | 1h 25m of content | Certificate of Completion.

This course shows why R is ideal for high volumes of data, introduces more efficient ways to use the language, and explains how to avoid the problems and capitalize on the opportunities of big data.

Link: https://www.linkedin.com/learning/r-programming-in-data-science-high-volume-data

 

Best Udacity's R programming NANODEGREE PROGRAM

1. › Programming for Data Science with R | NANODEGREE PROGRAM (Udacity)

Real-world projects from industry experts | Technical mentor support.

Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git.

Learn R programming fundamentals such as data structures, variables, loops, and functions. Learn to visualize data in the popular data visualization library ggplot2.

Link: https://www.udacity.com/course/programming-for-data-science-nanodegree-with-R--nd118


2. › Programming for Data Science with Python | NANODEGREE PROGRAM (Udacity)

Real-world projects from industry experts | Technical mentor support.

Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.

Learn Python programming fundamentals such as data structures, variables, loops, and functions. Learn to work with data using libraries like NumPy and Pandas.

Link: https://www.udacity.com/course/programming-for-data-science-nanodegree--nd104

 

R programming - Free Alison's R programming online Courses training

1. › Introduction to R (Alison)

4-5 Hours | 7,192+ students.

Students will get an introduction to the R coding language with this free online introduction to R course.

Link: https://alison.com/course/introduction-to-r


2. › Diploma in Machine Learning with R studio (Alison)

4-5 Hours | 34,811+ students.

Learn about Linear & Logistic Regression, Decision Trees & SVM in R programming with this Machine Learning in R course.

Link: https://alison.com/course/diploma-in-machine-learning-with-r-studio

 

3. › Introduction to R Programming and Consumers Wants in Marketing Analytics (Alison)

4-5 Hours | 156+ students.

Learn more about R programming techniques and the consumer wants approach in marketing from this free online course.

Link: https://alison.com/course/introduction-to-r-programming-and-consumers-wants-in-marketing-analytics

 

R is a programming language and free software and it possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R, but for heavy computational tasks, C, C++ and Fortran codes are preferred.