4 Top Free R Programming Courses

In this article, we will be looking at the 4 Top Free R Programming Courses, through which you can learn R!

Introduction to R Programming

R is the language and computing environment for statistical computing and graphics. Similar to S-language, it is a GNU project built at Bell Laboratories by John Chambers and his colleagues.

R can be considered as a different implementation of S. There are some important differences, but most code written for S works unchanged under R.

R offers a wide range of mathematical variations and graphical techniques.

➥ Why R Programming?

The S language is often the preferred one for mathematical performance research, while the R provides an Open Source route.

R an integrated collection of software resources for data manipulation, calculation, and graphical display. Including

R programming is useful in : 

  • Data management and storage system
  • A suite of mathematical operators for array calculations, especially matrices
  • A large, coherent, integrated collection of intermediate data analysis tools
  • Graphical areas for data analysis and display on screen or hardcopy

So here are the top 5 courses to look for, if you are thinking to learn R programming.

Note: Read the complete article, so that you find the right course for yourself. You may require a student account with Coursera to access some of these free courses!

1. R Programming 

This course is offered by Johns Hopkins University. This course will make you learn how to program in R and how to use it for effective data analysis.

Also, you will learn how to install and configure necessary software for a statistical programming environment.

The areas that this course will cover are reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.

By providing examples & hands-on training the effectivity is increased, & you will be able to learn at a faster pace.

Skills, you will learn : 

  • Data Analysis
  • Working with statistical programming
  • Debugging
  • R Programming
  • Rstudio

Duration: 50-57 Hours

Rating: 4.5/5.0 (540k+ enrolled)Register Now

2. Introduction to Probability and Data with R

Duke

This course is offered by Duke University. A beginner-friendly course which includes a variety of exploratory data analysis techniques, basic data visualization, and numeric summary statistics.

It introduces you to basic probability theory and Bayes’ rule, as well as sampling and exploring data. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization.

You will be guided through every step including installing and using R and RStudio. The building blocks for the inference and modeling courses in the Specialization will be served by this course.

Skills, you will learn : 

  • Statistics
  • Exploratory Data Analysis
  • R Programming
  • Rstudio

Duration: 10-14Hours

Rating: 4.7/5.0 (190k+ enrolled)Register Now

3. Data Science Foundation using R Specialization:

John Hopkins University

This specialization course is offered by Johns Hopkins University. Mainly intended for beginners, who want to learn about Data Science, using R programming.

This course covers getting, cleaning, and exploring data using R language and also covers the foundational data science tools and techniques.

This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.

Skills, you will learn : 

  • Data Science
  • Machine Learning
  • R Programming
  • Rstudio
  • Exploratory Data Analysis
  • Data Manipulation
  • Regular Expression (REGEX)
  • Cluster Analysis

Duration: 4-5 Months

Rating: 4.6/5.0 (48k+ enrolled)Register Now

 

4. Statistics with R specialization: 

This specialization is course is offered by Duke University. In this course. 

A beginner-friendly course, with an aim of imparting statistical skills, with the help of R Programing. You will not only learn the statistical method but will also learn to analyze and visualize data in R, generate data analysis reports, demonstrate an understanding of the concept of statistical similarity.

You will also be able to analyze & visualize the data through R-data analysis packages.

A very comprehensive course, which will help you learn a lot of skills, in regard to programming as well as statistical knowledge.

Skills, you will learn : 

  • Bayesian Statistics & Inference
  • Bayesian Linear Regression
  • Linear Regression
  • Model Selection
  • Rstudio
  • Exploratory Data Analysis
  • R Programming
  • Regression Analysis
  • Cluster Analysis

Duration: 6-7 Months

Rating: 4.5/5.0 (85k+ enrolled)Register Now

-Contributed by Dhwani Parekh, ScholarsXP always values your content!

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