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    • R Programming

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    334 results for "r programming"

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      Google

      Data Analysis with R Programming

      Skills you'll gain: Data Science, R Programming, Statistical Programming, Data Visualization, Statistical Visualization, Data Analysis, Data Analysis Software, Business Analysis, Computer Programming, Computer Programming Tools, Plot (Graphics), Statistical Analysis, Visualization (Computer Graphics)

      4.8

      (6.8k reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: R Programming, Data Analysis, Data Science, Exploratory Data Analysis, Statistical Programming, Data Visualization Software, Software Visualization, Statistical Visualization, Basic Descriptive Statistics, General Statistics, Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Linear Algebra, Machine Learning Software, Probability & Statistics, Probability Distribution, Software Engineering Tools, Spreadsheet Software, Statistical Tests, Application Development, Business Analysis, Data Management, Data Visualization, Extract, Transform, Load, Knitr, Plot (Graphics)

      4.6

      (47.3k reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      R Programming

      Skills you'll gain: R Programming, Data Analysis, General Statistics, Computer Programming, Data Structures, Exploratory Data Analysis, Linear Algebra, Probability & Statistics, Probability Distribution, Statistical Programming, Statistical Tests

      4.5

      (22k reviews)

      Intermediate · Course · 1-4 Weeks

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      Google

      Google Data Analytics

      Skills you'll gain: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (107.6k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Introduction to R Programming for Data Science

      Skills you'll gain: R Programming, Computational Logic, Computer Programming, Data Management, Data Science, Extract, Transform, Load, Programming Principles, Statistical Programming, Theoretical Computer Science

      4.5

      (272 reviews)

      Beginner · Course · 1-3 Months

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      Duke University

      Data Analysis with R

      Skills you'll gain: Probability & Statistics, General Statistics, Data Analysis, Statistical Analysis, Regression, R Programming, Statistical Programming, Statistical Tests, Bayesian Statistics, Econometrics, Business Analysis, Probability Distribution, Data Science, Mathematics, Correlation And Dependence, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Basic Descriptive Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization

      4.7

      (6.9k reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Visualization & Dashboarding with R

      Skills you'll gain: R Programming, Statistical Programming, Computer Programming Tools, Data Management, Data Visualization, Plot (Graphics), Communication, Computer Graphics, Computer Programming, Data Analysis, Geovisualization, Human Computer Interaction, Interactive Data Visualization, Interactive Design, Programming Principles, Project Management, Spatial Analysis, Statistical Visualization, Strategy and Operations

      4.8

      (306 reviews)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Getting Started with R

      Skills you'll gain: R Programming, Statistical Programming, Data Analysis, Data Science

      4.4

      (312 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      IBM Skills Network

      Applied Data Science with R

      Skills you'll gain: R Programming, Data Analysis, Plot (Graphics), Exploratory Data Analysis, Data Mining, Data Visualization, SQL, Basic Descriptive Statistics, General Statistics, Data Management, Data Visualization Software, Databases, Interactive Data Visualization, Statistical Analysis, Statistical Programming, Statistical Visualization, Probability & Statistics, Data Analysis Software, Database Theory, Regression, Statistical Tests, Big Data, Software Visualization, Data Structures, User Experience, Machine Learning, Probability Distribution, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Data Architecture, Data Model, Database Administration, Database Application, Database Design, Visualization (Computer Graphics), Advertising, Business Analysis, Communication, Computational Logic, Computer Programming, Data Science, Extract, Transform, Load, Marketing, Programming Principles, Theoretical Computer Science

      4.5

      (591 reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Business Analysis, Microsoft Excel, Probability & Statistics, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Accounting, Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (15.6k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      University of Michigan

      Data Analytics in the Public Sector with R

      Skills you'll gain: Data Analysis, Data Visualization, Business Analysis, Exploratory Data Analysis, Probability & Statistics, R Programming, Statistical Programming, Financial Analysis

      4.8

      (18 reviews)

      Intermediate · Specialization · 3-6 Months

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      Free

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      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Skills you'll gain: R Programming, Statistical Programming, Computer Programming, Mathematics, Data Analysis, Data Visualization, Linear Algebra, ArcGIS, Computational Logic, Mathematical Theory & Analysis, Other Programming Languages, Plot (Graphics), Probability & Statistics, Theoretical Computer Science

      4.7

      (7.8k reviews)

      Beginner · Course · 1-3 Months

    Searches related to r programming

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    In summary, here are 10 of our most popular r programming courses

      Skills you can learn in Data Analysis

      Analytics (85)
      Big Data (64)
      Python Programming (47)
      Business Analytics (40)
      R Programming (37)
      Statistical Analysis (36)
      Sql (33)
      Data Model (29)
      Data Mining (27)
      Exploratory Data Analysis (26)
      Data Modeling (21)
      Data Manipulation (20)

      Frequently Asked Questions about 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.‎

      • 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.‎

      This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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