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
MLOps | Machine Learning Operations
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Unit Testing, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)
4.1
Rating, 4.1 out of 5 stars
410 reviews
Advanced · Specialization · 3 - 6 Months
University of Maryland, College Park
Product Ideation, Design, and Management
Skills you'll gain: Stakeholder Management, Product Management, Product Development, New Product Development, Wireframing, Financial Statements, Product Design, Team Leadership, Prototyping, Competitive Analysis, Commercialization, Product Lifecycle Management, Financial Modeling, Value Propositions, Proposal Writing, Innovation, Financial Accounting, Target Market, Market Opportunities, Product Improvement
4.5
Rating, 4.5 out of 5 stars
671 reviews
Beginner · Specialization · 3 - 6 Months
Board Infinity
ASP.NET for Experienced Developers
Skills you'll gain: C# (Programming Language), ASP.NET, .NET Framework, Object Oriented Programming (OOP), Docker (Software), Restful API, Azure DevOps, Model View Controller, JSON, Containerization, Microservices, Application Frameworks, Web Services, DevOps, Application Programming Interface (API), Computer Programming, Web Applications, Back-End Web Development, CI/CD, Programming Principles
4.1
Rating, 4.1 out of 5 stars
320 reviews
Intermediate · Specialization · 1 - 3 Months
MathWorks
Practical Data Science with MATLAB
Skills you'll gain: Data Storytelling, Feature Engineering, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Data Science
4.8
Rating, 4.8 out of 5 stars
1K reviews
Beginner · Specialization · 3 - 6 Months
University of Maryland, College Park
Dealing With Missing Data
Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, Statistical Methods, R Programming, Regression Analysis, Data Analysis
3.8
Rating, 3.8 out of 5 stars
134 reviews
Mixed · Course · 1 - 3 Months
University of Colorado Boulder
Statistics and Applied Data Analysis
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
30 reviews
Beginner · Specialization · 3 - 6 Months
Kennesaw State University
Six Sigma Tools for Analyze
Skills you'll gain: Lean Six Sigma, Root Cause Analysis, Process Analysis, Probability Distribution, Process Capability, Statistical Process Controls, Process Improvement, Quality Improvement, Process Mapping, Statistical Analysis, Probability, Quality Control, Statistics, Risk Management
4.7
Rating, 4.7 out of 5 stars
1.8K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Minnesota
Fundamentals of Fluid Power
Skills you'll gain: Hydraulics, Mechanical Engineering, Schematic Diagrams, Simulation and Simulation Software, Engineering, Simulations, Engineering Analysis, Engineering Calculations, Mechanics, Mathematical Modeling, Systems Of Measurement, Matlab, Physics
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Mixed · Course · 1 - 3 Months
University of California, Irvine
Interfacing with the Arduino
Skills you'll gain: Internet Of Things, Hardware Design, Electronic Hardware, Basic Electrical Systems, Electrical Wiring, Electronic Components, Networking Hardware, Embedded Systems, Peripheral Devices, General Networking, Wireless Networks, Computer Programming
4.7
Rating, 4.7 out of 5 stars
3.9K reviews
Mixed · Course · 1 - 4 Weeks
University of Michigan
The Finite Element Method for Problems in Physics
Skills you'll gain: Finite Element Methods, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language), Object Oriented Programming (OOP)
4.6
Rating, 4.6 out of 5 stars
549 reviews
Intermediate · Course · 3 - 6 Months
IBM
SQL: A Practical Introduction for Querying Databases
Skills you'll gain: SQL, Stored Procedure, Relational Databases, MySQL, Microsoft SQL Servers, Query Languages, Database Management, Databases, Cloud Management, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing
4.7
Rating, 4.7 out of 5 stars
515 reviews
Beginner · Course · 1 - 3 Months
IBM
Introduction to Relational Databases (RDBMS)
Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management, PostgreSQL, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Data Structures
4.6
Rating, 4.6 out of 5 stars
657 reviews
Beginner · Course · 1 - 4 Weeks