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 California San Diego
Hadoop Platform and Application Framework
Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Processing, Distributed Computing, Performance Tuning, Scalability
4
Rating, 4 out of 5 stars
3.3K reviews
Mixed · Course · 1 - 3 Months
Google
Regression Analysis: Simplify Complex Data Relationships
Skills you'll gain: Regression Analysis, Statistical Analysis, Advanced Analytics, Correlation Analysis, Analytics, Data Analysis, Statistical Methods, Predictive Modeling, Statistical Modeling, Supervised Learning, Statistics, Statistical Machine Learning, Variance Analysis, Machine Learning Methods, Python Programming
4.7
Rating, 4.7 out of 5 stars
497 reviews
Advanced · Course · 1 - 3 Months
Johns Hopkins University
Wrangling Data in the Tidyverse
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Import/Export, Statistical Programming, Text Mining
4.5
Rating, 4.5 out of 5 stars
31 reviews
Mixed · Course · 1 - 3 Months
Johns Hopkins University
Precalculus: Relations and Functions
Skills you'll gain: Graphing, Data Analysis, R Programming, Mathematical Modeling, Analytical Skills, Algebra, Applied Mathematics
4.7
Rating, 4.7 out of 5 stars
211 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Build, Train and Deploy ML Models with Keras on Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Cloud Development, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation
4.4
Rating, 4.4 out of 5 stars
2.8K reviews
Intermediate · Course · 1 - 3 Months
Google
The Nuts and Bolts of Machine Learning
Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Predictive Modeling, Analytics, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Decision Tree Learning, Performance Tuning, Python Programming
4.8
Rating, 4.8 out of 5 stars
476 reviews
Advanced · Course · 1 - 3 Months
Dartmouth College
C Programming: Pointers and Memory Management - 4
Skills you'll gain: C (Programming Language), Embedded Systems, Computer Engineering, Embedded Software, Engineering Software, System Programming, Computer Programming, Operating Systems, Data Structures, Linux
4.7
Rating, 4.7 out of 5 stars
51 reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of Geneva
Simulation and modeling of natural processes
Skills you'll gain: Simulations, Python Programming, Statistical Methods, Numerical Analysis, Mathematical Modeling, Probability Distribution, Visualization (Computer Graphics), Mechanics, Artificial Intelligence
4.3
Rating, 4.3 out of 5 stars
394 reviews
Mixed · Course · 1 - 3 Months
University of California San Diego
Combinatorics and Probability
Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Statistics, Applied Mathematics, Python Programming, Simulations
4.6
Rating, 4.6 out of 5 stars
861 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Databases for Data Scientists
Skills you'll gain: SQL, Database Design, Database Management Systems, NoSQL, Relational Databases, Data Warehousing, Database Theory, Database Architecture and Administration, Database Management, Database Administration, Databases, Query Languages, Data Modeling, Data Analysis, Big Data, Data Architecture, Data Integrity, Data Manipulation, Transaction Processing, Scalability
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
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
Icahn School of Medicine at Mount Sinai
Systems Biology and Biotechnology
Skills you'll gain: Matlab, Bioinformatics, Quantitative Research, Unsupervised Learning, Data Synthesis, Mathematical Modeling, Science and Research, Analysis, Life Sciences, Scientific Methods, Differential Equations, Computational Thinking, Systems Analysis, Model Based Systems Engineering, Applied Mathematics, Data Mining, Network Analysis, Medical Science and Research, Systems Engineering, Data Integration
4.4
Rating, 4.4 out of 5 stars
967 reviews
Intermediate · Specialization · 3 - 6 Months