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

Status: Free Trial
DeepLearning.AI
TensorFlow: Data and Deployment
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Feature Engineering, Mobile Development, Data Transformation, JSON, Applied Machine Learning, Data Sharing, Javascript, Deep Learning
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Epic Games
Epic Games Game Design
Skills you'll gain: Unreal Engine, Game Design, Video Game Development, Animation and Game Design, Ideation, 3D Modeling, Prototyping, Visualization (Computer Graphics), Software Documentation, Software Design Documents, User Experience Design, Computer Graphics, Usability, Interactive Design, Virtual Environment, User Interface (UI) Design, Version Control, Conceptual Design, Web Content Accessibility Guidelines, UI Components
4.2
Rating, 4.2 out of 5 stars
363 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
University of California, Davis
Introduction to Web Development
Skills you'll gain: Version Control, Hypertext Markup Language (HTML), GitHub, Git (Version Control System), HTML and CSS, Cascading Style Sheets (CSS), Web Design and Development, Web Development, Web Design, Web Content, Front-End Web Development, Web Servers, Image Analysis, Semantic Web, Cloud Hosting, Browser Compatibility
4.7
Rating, 4.7 out of 5 stars
3.7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Introduction to Data Analytics for Business
Skills you'll gain: Data Governance, Data Storage Technologies, Analytics, Business Analytics, Data Storage, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Data Quality, SQL, Organizational Structure, Cloud Computing
4.7
Rating, 4.7 out of 5 stars
3.2K reviews
Beginner · Course · 1 - 4 Weeks
University of New Mexico
International Business I
Skills you'll gain: Social Sciences, International Relations, Political Sciences, Economic Development, Global Marketing, Socioeconomics, Cultural Diversity, World History, Business Economics, Economics, Business, Financial Market
4.7
Rating, 4.7 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months
Michigan State University
Script Writing: Write a Pilot Episode for a TV or Web Series (Project-Centered Course)
Skills you'll gain: Peer Review, Writing, Editing, Storytelling, Proofreading, Creativity
4.5
Rating, 4.5 out of 5 stars
774 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Google Cloud
Exploring and Preparing your Data with BigQuery
Skills you'll gain: Data Transformation, Big Data, Data Cleansing, Cloud Infrastructure, Google Cloud Platform, Data Analysis, Data Warehousing, SQL, Data Pipelines, Data Visualization Software, Scalability
4.7
Rating, 4.7 out of 5 stars
3.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, Statistical Software, R Programming, Statistics, Public Health, Descriptive Statistics, Probability Distribution, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google
The Path to Insights: Data Models and Pipelines
Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Performance Tuning, Data Pipelines, Data Integrity, Business Intelligence, Business Process, Data Mart, Data Validation, Statistical Reporting, Data Quality, SQL
4.7
Rating, 4.7 out of 5 stars
641 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
Macquarie University
Analysing: Numeric and digital literacies
Skills you'll gain: Governance, Management Accounting, Marketing Analytics, Budgeting, Capital Budgeting, Financial Modeling, SAS (Software), Business Analytics, Accounting, Financial Management, Customer Insights, Financial Analysis, Dashboard, Analytics, Marketing Effectiveness, Corporate Finance, Digital Marketing, Customer Data Management, Business Valuation, Data-Driven Decision-Making
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Board Infinity
Java FullStack Developer
Skills you'll gain: Angular, Web Applications, HTML and CSS, Web Development, Eclipse (Software), JavaScript Frameworks, Spring Boot, Object Oriented Programming (OOP), Restful API, Java Programming, Model View Controller, Object Oriented Design, Hypertext Markup Language (HTML), Front-End Web Development, Software Development Tools, Spring Framework, Java, Web Services, Javascript, Integrated Development Environments
4.4
Rating, 4.4 out of 5 stars
657 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
Kennesaw State University
Six Sigma Advanced Define and Measure Phases
Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 3 Months