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

Universidad ORT Uruguay
¡A Programar! Una introducción a la programación
Skills you'll gain: Software Engineering, Software Testing, Programming Principles, Game Design, Computer Programming, Debugging, Computational Thinking, Scripting, Scripting Languages, Prototyping
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination
4.4
Rating, 4.4 out of 5 stars
761 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Business Analytics
Skills you'll gain: Data Storytelling, Marketing Analytics, Data Presentation, Data Visualization, Extract, Transform, Load, Business Analytics, Data Processing, Data Collection, Data Quality, Exploratory Data Analysis, Data Visualization Software, Regression Analysis, Network Analysis, Internal Controls, Business Process, Business Intelligence, Tidyverse (R Package), R Programming, Robotic Process Automation, Analytics
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
1.1K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Kennesaw State University
Six Sigma Tools for Analyze
Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Process Analysis, Probability Distribution, Process Capability, Statistical Process Controls, Lean Methodologies, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Statistical Analysis, Systems Of Measurement, Risk Analysis
4.7
Rating, 4.7 out of 5 stars
1.9K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Princeton University
Algorithms, Part I
Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking
4.9
Rating, 4.9 out of 5 stars
12K reviews
Intermediate · Course · 3 - 6 Months
Status: Free Trial
IBM
Developing AI Applications with Python and Flask
Skills you'll gain: Unit Testing, Application Deployment, Flask (Web Framework), Software Testing, Application Development, Python Programming, Package and Software Management, Web Applications, Application Programming Interface (API), Natural Language Processing, Artificial Intelligence, IBM Cloud, Programming Principles, Style Guides
4.4
Rating, 4.4 out of 5 stars
1.1K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Building Web Applications in PHP
Skills you'll gain: PHP (Scripting Language), Hypertext Markup Language (HTML), MySQL, Web Applications, Web Development, Secure Coding, Cascading Style Sheets (CSS), Development Environment, Back-End Web Development, Database Development, Web Servers, Debugging, Data Validation
4.7
Rating, 4.7 out of 5 stars
4.3K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Applied Text Mining in Python
Skills you'll gain: Text Mining, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Processing, Feature Engineering, Data Manipulation, Data Cleansing, Unsupervised Learning, Supervised Learning
4.2
Rating, 4.2 out of 5 stars
3.8K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Meta
Marketing Analytics Foundation
Skills you'll gain: Data Collection, Marketing, Marketing Analytics, Google Analytics, Digital Marketing, Application Programming Interface (API), Personally Identifiable Information, Web Analytics, Information Privacy, Data Integration, Analytics, Facebook, Data-Driven Decision-Making, Advertising
4.8
Rating, 4.8 out of 5 stars
2.2K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Vanderbilt University
ChatGPT Advanced Data Analysis
Skills you'll gain: Prompt Engineering, Data Presentation, ChatGPT, Document Management, Artificial Intelligence, Microsoft Excel, Problem Solving, Data Analysis, Generative AI, Information Management, File Management, Creativity, Automation
4.8
Rating, 4.8 out of 5 stars
785 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Fundamentals of Data Analytics in the Public Sector with R
Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
42 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Google Cloud
Modernizing Data Lakes and Data Warehouses with Google Cloud
Skills you'll gain: Data Lakes, Data Warehousing, Cloud Engineering, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Data Processing, Data Transformation, SQL, Scalability
4.7
Rating, 4.7 out of 5 stars
2.9K reviews
Intermediate · Course · 1 - 3 Months