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

University of Michigan
Data Collection and Processing with Python
Skills you'll gain: JSON, Data Processing, Restful API, Data Manipulation, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection
4.7
Rating, 4.7 out of 5 stars
4K reviews
Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Probability & Statistics for Machine Learning & Data Science
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization
4.6
Rating, 4.6 out of 5 stars
553 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Introduction to Embedded Systems Software and Development Environments
Skills you'll gain: Software Configuration Management, Embedded Software, Embedded Systems, Git (Version Control System), Version Control, System Programming, Build Tools, Software Development Tools, C (Programming Language), Development Environment, Code Review, Computer Architecture, Debugging, Command-Line Interface
4.5
Rating, 4.5 out of 5 stars
638 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Problem Solving Using Computational Thinking
Skills you'll gain: Computational Thinking, Programming Principles, Computer Science, Disaster Recovery, Algorithms, Threat Detection, Epidemiology
4.6
Rating, 4.6 out of 5 stars
1.3K reviews
Beginner · Course · 1 - 3 Months
University of Toronto
Introduction to Self-Driving Cars
Skills you'll gain: Embedded Software, Automation, Simulation and Simulation Software, Software Architecture, Hardware Architecture, Process Control, Computer Vision, Verification And Validation, Mathematical Modeling, Mechanical Engineering, Risk Control, Safety and Security
4.7
Rating, 4.7 out of 5 stars
2.9K reviews
Advanced · Course · 1 - 3 Months
University of Colorado System
Database Management Essentials
Skills you'll gain: Database Design, Relational Databases, Data Modeling, Database Management Systems, Databases, Oracle Databases, SQL, Data Warehousing, Data Integrity, PostgreSQL
4.6
Rating, 4.6 out of 5 stars
3.4K reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Python for Genomic Data Science
Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Scripting Languages, Scripting, Package and Software Management, Computer Programming, Data Manipulation, File Management
4.3
Rating, 4.3 out of 5 stars
1.8K reviews
Mixed · Course · 1 - 4 Weeks
University of Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks
Status: New
DeepLearning.AI
AI Python for Beginners
Skills you'll gain: Artificial Intelligence, Jupyter, Python Programming, Data Analysis, OpenAI, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API), Development Environment, Debugging
4.8
Rating, 4.8 out of 5 stars
90 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado System
Data Warehousing for Business Intelligence
Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Decision Support Systems, Business Intelligence, Data Modeling, Database Management Systems, Databases, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Data Integration, Oracle Databases, Performance Measurement, Extract, Transform, Load, Business Analytics, MicroStrategy, Data Visualization Software
4.5
Rating, 4.5 out of 5 stars
4K reviews
Advanced · Specialization · 3 - 6 Months
Coursera Project Network
Introduction to Python
Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computer Programming, Application Development, Scientific Visualization
4.5
Rating, 4.5 out of 5 stars
2.2K reviews
Beginner · Guided Project · Less Than 2 Hours
IBM
Exploratory Data Analysis for Machine Learning
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Machine Learning, Probability & Statistics, Jupyter, Pandas (Python Package), Artificial Intelligence
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Intermediate · Course · 1 - 3 Months