What is R programming?

R programming is the use of the R computer language for statistical analysis and graphic presentation. R is commonly used in business and research computing environments to analyze and visualize data, then create reports that can be used for decision making. R programming is increasingly more important given the expansion of big data for analysis.

Why learn R programming?

It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.

What are typical careers that use R programming?

Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.

How can online courses help me learn R programming?

Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.

What are the benefits of taking an online R Programming course?

Online R Programming courses offer a convenient and flexible way to enhance your knowledge or learn new R Programming skills. Choose from a wide range of R Programming courses offered by top universities and industry leaders tailored to various skill levels.

What R Programming courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in R Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top R Programming Courses - Learn R Programming Online

Explore the R Programming Course Catalog

Duke University
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Applied Data Science with Python
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
University of California San Diego
Algorithmic Toolbox
Skills you'll gain: Algorithms, Debugging, Development Testing, Software Testing, Computational Thinking, Computer Programming, Data Structures, Theoretical Computer Science
4.6
Rating, 4.6 out of 5 stars
13K reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
4.4
Rating, 4.4 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
University of Toronto
Learn to Program: The Fundamentals
Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Data Structures, Development Environment, File Management
4.7
Rating, 4.7 out of 5 stars
6.7K reviews
Beginner · Course · 1 - 3 Months
ESSEC Business School
Strategic Business Analytics
Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Advanced Analytics, Statistical Analysis, Communication, Market Research, Complex Problem Solving, Analytics, Business Analysis, Data Analysis, Value Propositions
4.4
Rating, 4.4 out of 5 stars
1.3K reviews
Advanced · Specialization · 3 - 6 Months
Meta
Programming in Python
Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 3 Months
Duke University
Linear Regression and Modeling
Skills you'll gain: Regression Analysis, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Statistical Methods, Exploratory Data Analysis, Predictive Modeling
4.8
Rating, 4.8 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Getting and Cleaning Data
Skills you'll gain: Data Manipulation, Data Cleansing, Data Integration, Data Import/Export, Data Collection, Data Management, Web Scraping, R Programming, MySQL, Application Programming Interface (API)
4.5
Rating, 4.5 out of 5 stars
8.1K reviews
Mixed · Course · 1 - 4 Weeks
Rice University
Python Programming Essentials
Skills you'll gain: Programming Principles, Python Programming, Computational Logic, Development Environment, Computer Programming, Scripting Languages, Debugging
4.8
Rating, 4.8 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado System
Introduction to C# Programming and Unity
Skills you'll gain: Debugging, Object Oriented Programming (OOP), C# (Programming Language), Computer Programming, Program Development, Integrated Development Environments, Computer Programming Tools, Data Storage, Development Environment, User Interface (UI), Scripting
4.7
Rating, 4.7 out of 5 stars
2.4K reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Developing Data Products
Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, UI Components, Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management
4.6
Rating, 4.6 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months