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    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

    • Status: Free
      Free
      U

      Universiteit Leiden

      Population Health: Predictive Analytics

      Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Feature Engineering, Sampling (Statistics), Data Manipulation, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Create Your First Web App with Python and Flask

      Skills you'll gain: Flask (Web Framework), Web Development, Web Applications, Object-Relational Mapping, Database Application, Back-End Web Development, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      545 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Pennsylvania

      Patent Law

      Skills you'll gain: Intellectual Property, Legal Strategy, Legal Risk, Regulation and Legal Compliance, Case Law, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      285 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      New Venture Finance: Startup Funding for Entrepreneurs

      Skills you'll gain: Entrepreneurial Finance, Sales Presentation, Entrepreneurship, Capital Markets, Finance, Fundraising, Private Equity, Business Valuation, Contract Negotiation, Financial Modeling, Investments, Due Diligence, Business Planning, Cash Flows, Presentations, Storytelling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      476 reviews

      Mixed · Course · 1 - 4 Weeks

    • S

      Sungkyunkwan University

      The Fundamental of Data-Driven Investment

      Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Regression Analysis, Data Manipulation, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Migrating to the AWS Cloud

      Skills you'll gain: Amazon Web Services, Data Migration, Cloud Management, Cloud Infrastructure, Cloud Security, Data Import/Export, Cloud Computing, Cloud Applications, Infrastructure Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      233 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Washington

      Social Media Data Analytics

      Skills you'll gain: R Programming, Text Mining, Statistical Analysis, Correlation Analysis, Web Scraping, Regression Analysis, Analytics, Big Data, Data Analysis, Data Mining, Unstructured Data, Data Collection, Scripting, Application Programming Interface (API), Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      296 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Assisting Public Sector Decision Makers With Policy Analysis

      Skills you'll gain: Statistical Analysis, Program Evaluation, Policy Analysis, Data Analysis, Statistical Methods, Public Policies, Statistical Hypothesis Testing, Policy Development, Analytical Skills, Forecasting, R Programming, Data-Driven Decision-Making, Research Design, Time Series Analysis and Forecasting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Data Visualization Capstone

      Skills you'll gain: Data Visualization, Data Visualization Software, Data Literacy, Storyboarding, Statistical Visualization, Data Storytelling, Data Manipulation, Ggplot2, Statistical Reporting, Data Wrangling, Data Analysis, Data Cleansing, R Programming, Tidyverse (R Package), Data Transformation, Data Import/Export, Rmarkdown, Graphing

      5
      Rating, 5 out of 5 stars
      ·
      33 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Introduction to the Tidyverse

      Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Ggplot2, File Management, Data Import/Export

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Importing Data in the Tidyverse

      Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Storage, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      C++ For C Programmers, Part B

      Skills you'll gain: C++ (Programming Language), Software Design Patterns, Object Oriented Programming (OOP), Computer Programming, C (Programming Language), Debugging, Algorithms, Graph Theory, Artificial Intelligence, Data Structures, Game Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      327 reviews

      Intermediate · Course · 1 - 3 Months

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…212223…48

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

    • Population Health: Predictive Analytics: Universiteit Leiden
    • Create Your First Web App with Python and Flask: Coursera Project Network
    • Patent Law: University of Pennsylvania
    • New Venture Finance: Startup Funding for Entrepreneurs: University of Maryland, College Park
    • The Fundamental of Data-Driven Investment: Sungkyunkwan University
    • Migrating to the AWS Cloud: Amazon Web Services
    • Social Media Data Analytics: University of Washington
    • Assisting Public Sector Decision Makers With Policy Analysis: University of Michigan
    • Data Visualization Capstone: Johns Hopkins University
    • Introduction to the Tidyverse: Johns Hopkins University

    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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