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
IBM
IBM z/OS Mainframe Practitioner
Skills you'll gain: Job Control Language (JCL), Mainframe Computing, z/OS, Virtualization, Virtualization and Virtual Machines, Unix, IBM DB2, Operating Systems, IBM Cloud, Data Management, Hardware Architecture, Data Storage, Infrastructure Architecture, System Programming, File Systems, Enterprise Security, Computer Security, System Configuration, Control Panels, Command-Line Interface
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Intermediate · Professional Certificate · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Python for Genomic Data Science
Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Scripting Languages, Scripting, Data Processing, Computer Programming, Data Manipulation, File Management
4.3
Rating, 4.3 out of 5 stars
1.8K reviews
Mixed · Course · 1 - 4 Weeks
Coursera Project Network
Introduction to Python
Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computational Thinking, 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
Status: Free Trial
Microsoft
Microsoft Azure Data Fundamentals DP-900 Exam Prep
Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Cloud Services, Data Warehousing, Database Systems, Databases, Dashboard, Data Architecture, NoSQL, Apache Spark, Database Administration, Relational Databases, MySQL, Data Store, SQL, Cloud Storage, Database Management
4.6
Rating, 4.6 out of 5 stars
827 reviews
Beginner · Specialization · 3 - 6 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
California Institute of the Arts
UX Design Fundamentals
Skills you'll gain: User Experience Design, User Interface (UI) Design, User Centered Design, Interaction Design, Prototyping, Wireframing, User Research, Human Computer Interaction, User Flows, Mockups, Information Architecture, Ideation
4.8
Rating, 4.8 out of 5 stars
2.2K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Duke University
Linear Regression and Modeling
Skills you'll gain: Regression Analysis, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Statistical Methods, Mathematical Modeling, Exploratory Data Analysis, Predictive Modeling
4.8
Rating, 4.8 out of 5 stars
1.8K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Rice University
Parallel, Concurrent, and Distributed Programming in Java
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Intermediate · Specialization · 3 - 6 Months
DeepLearning.AI
AI Python for Beginners
Skills you'll gain: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, ChatGPT, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API)
4.8
Rating, 4.8 out of 5 stars
112 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Irvine
Getting Started with Go
Skills you'll gain: Go (Programming Language), JSON, Programming Principles, Other Programming Languages, Development Environment, Data Structures, Remote Access Systems, Software Installation, File Management, Program Development
4.6
Rating, 4.6 out of 5 stars
2.4K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Kennesaw State University
Six Sigma Tools for Improve and Control
Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Quality Management, Project Management, Cost Benefit Analysis, Statistical Inference, Document Control
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Google
The Power of Statistics
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Advanced Analytics, Analytics, Statistics, Data Literacy, Statistical Inference, Probability, Statistical Software, Statistical Programming, A/B Testing, Sample Size Determination, Jupyter, Technical Communication
4.8
Rating, 4.8 out of 5 stars
787 reviews
Advanced · Course · 1 - 3 Months