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

Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Computer Programming, Computer Programming Tools, Data Management, Programming Principles, Data Structures, Statistical Analysis, Critical Thinking, Problem Solving, General Statistics, Process Analysis, Statistical Tests, Computational Thinking, Big Data, Data Mining, Data Visualization, Databases, Extract, Transform, Load, Plot (Graphics), Communication, Computer Graphic Techniques, Computer Graphics, Interactive Data Visualization, Knitr, Visualization (Computer Graphics)
Beginner · Specialization · 3 - 6 Months
Duke University
Data Analysis with R
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Probability Distribution, R Programming, Statistical Programming, Basic Descriptive Statistics, Statistical Visualization, Bayesian Statistics, Exploratory Data Analysis, Plot (Graphics), Problem Solving, Critical Thinking, Correlation And Dependence, Regression, Bayesian Network, Computer Programming
Beginner · Specialization · 3 - 6 Months
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Analysis, R Programming, Data Visualization, Computer Programming, Plot (Graphics), Statistical Programming, Statistical Visualization, Exploratory Data Analysis, Data Analysis Software, Statistical Analysis, Basic Descriptive Statistics, Data Structures, General Statistics, Microsoft Excel, Interactive Data Visualization, Visualization (Computer Graphics), Spreadsheet Software, Data Management, Extract, Transform, Load, Regression, Programming Principles, Databases, Computer Programming Tools, Correlation And Dependence, Data Mining, Visual Design, Data Visualization Software, Python Programming, SQL, Business Analysis, Data Science, NoSQL, Big Data
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months