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
University of Toronto
Bioinformatic Methods I
Skills you'll gain: Bioinformatics, Molecular Biology, Biology, Data Analysis Software, Data Mining, Life Sciences, Analysis, Statistical Analysis, Databases
4.7
Rating, 4.7 out of 5 stars
1.8K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Meta
Introduction to Databases
Skills you'll gain: Database Design, Database Management Systems, SQL, Relational Databases, Databases, MySQL, Data Integrity, Query Languages, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Beginner · Course · 1 - 3 Months
University of Manchester
Introduction to Physical Chemistry
Skills you'll gain: Chemistry, Physical Science, Physics, Laboratory Experience, Thermal Management, Simulation and Simulation Software, Experimentation, Molecular, Cellular, and Microbiology, Mathematical Modeling, Calculus
4.7
Rating, 4.7 out of 5 stars
730 reviews
Mixed · Course · 1 - 3 Months
Edge Impulse
Introduction to Embedded Machine Learning
Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Feature Engineering, Performance Tuning
4.8
Rating, 4.8 out of 5 stars
724 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Duke University
Java Programming: Principles of Software Design
Skills you'll gain: Object Oriented Programming (OOP), Java, Software Engineering, Computer Programming, Software Design, Predictive Modeling, Algorithms, Data Structures, Performance Testing, Debugging, Application Programming Interface (API)
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Google
The Nuts and Bolts of Machine Learning
Skills you'll gain: Feature Engineering, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Data Analysis, Performance Tuning, Python Programming
4.8
Rating, 4.8 out of 5 stars
520 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Rice University
Python Programming Essentials
Skills you'll gain: Programming Principles, Python Programming, Development Environment, Computer Programming, Integrated Development Environments, Debugging
4.8
Rating, 4.8 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
The Finite Element Method for Problems in Physics
Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Linear Algebra, C++ (Programming Language), Calculus, Open Source Technology
4.6
Rating, 4.6 out of 5 stars
551 reviews
Intermediate · Course · 3 - 6 Months
Duke University
Bayesian Statistics
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Probability Distribution
3.8
Rating, 3.8 out of 5 stars
797 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Python Project for Data Engineering
Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides
4.6
Rating, 4.6 out of 5 stars
774 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Database Design and Basic SQL in PostgreSQL
Skills you'll gain: Database Design, SQL, Relational Databases, PostgreSQL, Database Theory, Database Management, Data Modeling, Databases, Data Integrity
4.8
Rating, 4.8 out of 5 stars
1K reviews
Intermediate · Course · 1 - 4 Weeks
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