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    • R

    R Courses Online

    Master R programming for statistical computing and data analysis. Learn about R syntax, data manipulation, and visualization techniques.

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    Explore the R Course Catalog

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Toma de Decisiones Basadas en Datos

      Skills you'll gain: Descriptive Analytics, Business Analytics, Statistical Reporting, Data Ethics, Digital Transformation, SQL, Database Design, Query Languages, Data Mining, NoSQL, Predictive Analytics, Data Analysis, R Programming, Big Data, Business Intelligence, Data-Driven Decision-Making, Business Transformation, Business Strategy, Technology Strategies, Business Modeling

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      University of Pittsburgh

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • O

      O.P. Jindal Global University

      M.A. Public Policy

      Skills you'll gain: Econometrics, Surveys, Environmental Laws, Sampling (Statistics), Social Sciences, Public Policies, Political Sciences, Data Collection, Health Disparities, Economics, Policy, and Social Studies, Economic Development, Policy Analysis, Presentations, International Relations, Diplomacy, Economics, Complex Problem Solving, Research Methodologies, Socioeconomics, Governance

      Earn a degree

      Degree · 1 - 4 Years

    • I

      IIT Roorkee

      Executive MBA

      Skills you'll gain: New Product Development, Mergers & Acquisitions, FinTech, Capital Budgeting, Supply Chain, Integrated Marketing Communications, Business Marketing, Sales Process, Innovation, Succession Planning, Management Accounting, Supply Chain Management, Statistical Process Controls, Product Management, Marketing Management, Revenue Management, Sampling (Statistics), Production Schedule, Project Portfolio Management, Financial Statement Analysis

      Earn a degree

      Degree · 1 - 4 Years

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…46474849

    In summary, here are 4 of our most popular r courses

    • Certificado en Toma de Decisiones Basadas en Datos: Pontificia Universidad Católica de Chile
    • Master of Data Science: University of Pittsburgh
    • M.A. Public Policy: O.P. Jindal Global University
    • Executive MBA: IIT Roorkee

    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

    R programming courses on Coursera offer learners an opportunity to master a wide array of skills essential for data analysis, statistical computing, and graphical representation, including:

    • Fundamentals of R syntax and programming environment
    • Data manipulation and cleaning techniques using R packages like dplyr and tidyr
    • Statistical analysis and model building to interpret complex data sets
    • Creating compelling visualizations with ggplot2 and other visualization tools
    • Developing reproducible reports and interactive web apps with R Markdown and Shiny
    • Applying R in various domains such as finance, healthcare, and academic research ‎

    Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

    Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

    Engaging in R programming courses on Coursera can lead to several forms of recognition that highlight your skills and dedication:

    • Course Certificates: These certificates demonstrate your success in individual R programming courses, showcasing your skills in specific aspects of the language.
    • Professional Certificates: Obtain these by completing a series of courses that prepare you for data analysis and statistical roles using R.
    • Specializations: Deepen your proficiency with comprehensive course sequences that focus on specific areas such as statistical analysis, machine learning, or advanced data visualization with R. ‎

    Looking to enhance your team's R programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our R programming training options and make a purchase, please visit our Coursera for Teams page.‎

    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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