Skills you'll gain: Data Management, Cloud Storage, Extract, Transform, Load, Apache, Big Data, Cloud API, Cloud Applications, Cloud Computing, Cloud Management, Cloud Platforms, Computer Programming, Data Engineering, Data Warehousing, General Statistics, Microsoft Azure, Probability & Statistics, Python Programming, SQL, Statistical Programming, Business Intelligence, Cloud-Based Integration, Data Analysis, Internet Of Things, Research and Design, Software Engineering, Strategy and Operations
Intermediate · Course · 1-3 Months
Skills you'll gain: Accounting, Business Analysis, Financial Accounting, Data Analysis, Finance, Probability & Statistics, Statistical Analysis, Financial Analysis, Entrepreneurship, General Statistics, Spreadsheet Software, Data Model, Decision Making, Forecasting, Leadership and Management, Microsoft Excel, Planning, Statistical Tests, Strategy, Strategy and Operations, Business Transformation, Data Management, Estimation, Marketing, Probability Distribution, Regression, Sales, Supply Chain and Logistics, Financial Management, Business Research, Correlation And Dependence, Data Visualization, Investment Management, Research and Design, Statistical Visualization, Taxes, Accounts Payable and Receivable, Performance Management, Data Analysis Software, Design and Product, Market Research, Mathematics, Product Management, Product Marketing
Beginner · Specialization · 3-6 Months
Skills you'll gain: Theoretical Computer Science, Probability & Statistics, General Statistics, Algorithms, Data Management, Strategy and Operations, Computer Architecture, Mathematics, Leadership and Management, Data Analysis, Databases, Communication, Hardware Design, Operating Systems, Statistical Programming, Business Analysis, Computer Programming, Research and Design, Machine Learning, Finance, Regression, SQL, Writing, Data Structures, Project Management, Statistical Analysis, Business Communication, Entrepreneurship, Probability Distribution, Software Engineering, Database Design, Accounting, Statistical Tests, Computer Networking, Design and Product, Computer Graphics, Operations Research, Systems Design, Data Visualization, Data Model, Database Administration, Database Application, Database Theory, Machine Learning Algorithms, Statistical Machine Learning, Human Computer Interaction, Internet Of Things, Estimation, PostgreSQL, Problem Solving, Experiment, Network Architecture, Financial Analysis, Graph Theory, Applied Mathematics, Computer Vision, Deep Learning, Supply Chain and Logistics, Geometry, Security Engineering, User Experience, Econometrics, Marketing, Mathematical Theory & Analysis, Programming Principles, Python Programming, Computer Graphic Techniques, Algebra, Cryptography, Business Psychology, Interactive Design, Critical Thinking, Budget Management, Correlation And Dependence, Distributed Computing Architecture, Linear Algebra, Linux, Data Mining, User Experience Design, Cost Accounting, Differential Equations, Data Warehousing, Network Model, Cloud Computing, Cyberattacks, Security Strategy, Computer Programming Tools, Computational Logic, Human Resources, Applied Machine Learning, Calculus, Computational Thinking, Feature Engineering, Graphic Design, Investment Management, Other Programming Languages, Sales, Scrum (Software Development), Software Architecture, Software Testing, System Programming, Visual Design, Matlab, Artificial Neural Networks, Emotional Intelligence, Market Analysis, NoSQL, Statistical Visualization, Basic Descriptive Statistics, C Programming Language Family, Data Analysis Software, Exploratory Data Analysis, FinTech, Material Handling, Organizational Development, Planning, Product Lifecycle, Risk Management, Strategy, Amazon Web Services, Big Data, Cloud Platforms, Culture, Decision Making, Graphics Software, Microarchitecture, Application Development, Computer Security Models, Leadership Development, Operational Analysis, Product Design, Reinforcement Learning, Software Security, System Security, User Research, Market Research, Plot (Graphics), R Programming, Account Management, Banking, BlockChain, Business Process Management, Contract Management, Data Architecture, Financial Accounting, Financial Management, Generally Accepted Accounting Principles (GAAP), Geovisualization, Inventory Management, Management Accounting, Markov Model, Natural Language Processing, Operations Management, Product Management, Spreadsheet Software, Storytelling, Supplier Relationship Management, Benefits, Collaboration, Computer Science, Computer Security Incident Management, Data Science, Dimensionality Reduction, Forecasting, Journalism, Negotiation, Network Analysis, Network Security, Resilience, System Software
Earn a degree
Degree · 1-4 Years
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.