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

SAS
Doing More with SAS Programming
Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation, Debugging
4.8
Rating, 4.8 out of 5 stars
937 reviews
Intermediate · Course · 1 - 3 Months
IBM
IBM Data Architect
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Cloud Storage
4.6
Rating, 4.6 out of 5 stars
6.2K reviews
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Reproducible Research
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Exploratory Data Analysis, R Programming, Technical Communication, Version Control
4.6
Rating, 4.6 out of 5 stars
4.2K reviews
Mixed · Course · 1 - 4 Weeks
SAS
SAS Programmer
Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Validation, Data Cleansing, Statistical Programming, Data Processing, Data Integration, SQL, Data Presentation, Descriptive Statistics, Debugging
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
3.5K reviews
Beginner · Professional Certificate · 3 - 6 Months
Amazon Web Services
AWS Cloud Solutions Architect
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Computing Architecture, Cloud Solutions, Data Architecture, Amazon Redshift, Software Architecture
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
6.4K reviews
Intermediate · Professional Certificate · 3 - 6 Months
The Hong Kong University of Science and Technology
Mathematics for Engineers
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mechanical Engineering, Calculus, Algebra, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Civil Engineering, General Mathematics, Computational Thinking, Engineering, Mathematical Theory & Analysis, Geometry
4.8
Rating, 4.8 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months
Imperial College London
Logistic Regression in R for Public Health
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Data Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Data Manipulation, Statistical Hypothesis Testing
4.8
Rating, 4.8 out of 5 stars
363 reviews
Intermediate · Course · 1 - 4 Weeks
Amazon Web Services
AWS Fundamentals
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Event-Driven Programming, Solution Architecture, Cloud Computing Architecture, Cloud Solutions, Data Migration, Identity and Access Management, Cloud Storage, API Gateway, Cloud Management, Cloud Infrastructure, Cloud Security
4.8
Rating, 4.8 out of 5 stars
6.2K reviews
Beginner · Specialization · 1 - 3 Months
Rice University
Fundamentals of Computing
Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Theoretical Computer Science, Independent Thinking, Probability, Computer Programming, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, Probability & Statistics, Computational Logic
4.8
Rating, 4.8 out of 5 stars
4.1K reviews
Beginner · Specialization · 3 - 6 Months
École Polytechnique Fédérale de Lausanne
Functional Programming Principles in Scala
Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Software Design Patterns, Computer Programming, Data Structures, Software Engineering, Javascript, Algorithms, Computational Thinking
4.8
Rating, 4.8 out of 5 stars
8.2K reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Using Databases with Python
Skills you'll gain: Relational Databases, Database Design, SQL, Databases, Web Scraping, Data Modeling, Database Management, Data Visualization Software, Object Oriented Programming (OOP), Data Processing, Data Storage, Python Programming, Application Programming Interface (API)
4.8
Rating, 4.8 out of 5 stars
21K reviews
Beginner · Course · 1 - 3 Months
Status: Free
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Statistics, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Data Import/Export
4.4
Rating, 4.4 out of 5 stars
4.4K reviews
Intermediate · Course · 1 - 4 Weeks