Skills you'll gain: General Statistics, Probability & Statistics, Forecasting, Statistical Programming, Computer Programming, R Programming, Data Analysis, Algorithms, Correlation And Dependence, Data Visualization, Machine Learning, Mathematics, Plot (Graphics), Programming Principles, Statistical Analysis, Statistical Machine Learning, Statistical Tests, Theoretical Computer Science, Basic Descriptive Statistics, Bayesian Statistics, Data Analysis Software, Data Mining, Estimation, Experiment, Exploratory Data Analysis, Probability Distribution, Regression
Intermediate · Course · 1-3 Months
Skills you'll gain: Probability & Statistics, Statistical Tests, General Statistics, R Programming, Statistical Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Statistical Analysis, Bayesian Network, Business Analysis, Experiment, Machine Learning
Intermediate · Course · 1-3 Months
Skills you'll gain: R Programming, Statistical Programming, Mathematics, Business Analysis, Computational Logic, Computer Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, Graph Theory, Mathematical Theory & Analysis, Plot (Graphics), Probability & Statistics, Programming Principles, Theoretical Computer Science, Communication
Beginner · Specialization · 1-3 Months
Skills you'll gain: Big Data, Business Analysis, Business Intelligence, Data Analysis, Data Management, Data Visualization, Database Administration, Database Application, Databases, Exploratory Data Analysis, Probability & Statistics, R Programming, SQL, Statistical Analysis, Statistical Programming, Accounting, Computer Programming, Financial Analysis
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Data Management, Databases, SQL, Database Theory, R Programming, Big Data, Data Structures, Data Architecture, Data Model, Database Administration, Database Application, Database Design, Statistical Programming, Data Analysis, Data Science
Beginner · Course · 1-3 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.