Skills you'll gain: General Statistics, Python Programming, Probability & Statistics, Statistical Programming, Data Analysis, Regression, Statistical Analysis, Computer Programming, Correlation And Dependence, Data Management, Data Structures, Probability Distribution, Basic Descriptive Statistics, Communication, Marketing, Mathematics, Social Media
Intermediate · Course · 1-4 Weeks
Skills you'll gain: Research and Design, Survey Creation, Probability & Statistics, General Statistics, Entrepreneurship, Data Analysis, Market Research, Big Data, Data Management, Extract, Transform, Load, Change Management, Communication, Computer Programming, Journalism, Leadership and Management, Programming Principles, Strategy and Operations
Beginner · Specialization · 3-6 Months
Skills you'll gain: Data Analysis, Data Visualization, Accounting, General Statistics, Probability & Statistics, Regression, Statistical Analysis, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Critical Thinking, Data Management, Data Structures, Data Visualization Software, Management Accounting, Microsoft Excel, Plot (Graphics), Spreadsheet Software, Statistical Visualization, Taxes, Visualization (Computer Graphics), Audit, Data Analysis Software, Data Architecture, Financial Accounting, Financial Analysis, Machine Learning, Research and Design, Strategy and Operations, Tableau Software, Theoretical Computer Science
Beginner · Course · 1-3 Months
Skills you'll gain: Python Programming, Statistical Programming, Computer Programming, Data Structures, Data Visualization, Databases, Plot (Graphics), Probability & Statistics, Regression, SQL, Theoretical Computer Science, Database Administration, Statistical Visualization, Accounting, Business Analysis, Data Analysis, Data Management, Entrepreneurial Finance, Entrepreneurship, Financial Analysis, Microsoft Excel, Operating Systems, Systems Design
Intermediate · Course · 1-3 Months
Skills you'll gain: Statistical Programming, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Artificial Neural Networks, Communication, Computer Vision, Deep Learning, Natural Language Processing
Mixed · Course · 1-3 Months
Skills you'll gain: Cloud Computing, Software As A Service, Leadership and Management, Entrepreneurship, Strategy and Operations, Business Analysis, Software Engineering, Business Process Management, Business Psychology, Business Transformation, Organizational Development, Project Management, Software Architecture, Theoretical Computer Science, Cloud Applications, Cloud-Based Integration, Customer Analysis, Databases, Design and Product, Agile Software Development, Application Development, Applied Machine Learning, Cloud Platforms, Communication, Computer Programming, Computer Programming Tools, Database Design, Machine Learning, Planning, Problem Solving, Process Analysis, Product Design, Product Development, Research and Design, Supply Chain and Logistics, Finance, Operations Management, Sales
Beginner · Professional Certificate · 3-6 Months
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.
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.
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.
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.