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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

    • Status: New
      New
      U

      University of Colorado Boulder

      Product Design for the Circular Economy

      Skills you'll gain: Business Leadership, Waste Minimization, Product Design, Industrial Design, Environmental Engineering, Product Lifecycle Management, Process Engineering, Corporate Sustainability, Environmental Science, Material Handling

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Finding and Preparing for the Right Job

      Skills you'll gain: Professional Networking, Data Science, LinkedIn, Artificial Intelligence and Machine Learning (AI/ML), Talent Sourcing, Recruitment, Presentations, Job Analysis, Writing, Portfolio Management, Branding

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Maryland, College Park

      Cómo combinar y analizar datos complejos

      Skills you'll gain: Data Integration, Data Synthesis, Data Ethics, R Programming, Statistical Software, Analytical Skills, Data Analysis Software, Statistical Methods, Statistical Programming, Statistical Analysis, Sampling (Statistics), Regression Analysis, Statistical Modeling, Probability & Statistics, Descriptive Statistics, Information Privacy

      Mixed · Course · 1 - 4 Weeks

    • E

      Edureka

      Power BI Integration with AWS and Snowflake

      Skills you'll gain: Snowflake Schema, AWS Identity and Access Management (IAM), Amazon Web Services, Power BI, Dashboard, Data Visualization Software, Amazon S3, SQL, Data Modeling, Database Management, Data Warehousing, Business Intelligence, Cloud Computing, Account Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Data Scientists

      Skills you'll gain: Generative AI, Data Ethics, Data Quality, Prompt Engineering, Data Science, Data-Driven Decision-Making, Applied Machine Learning, Predictive Modeling, Exploratory Data Analysis, Deep Learning, Analysis, Machine Learning Methods

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Introduction to Reproducibility in Cancer Informatics

      Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Data Analysis, Programming Principles, Jupyter, Rmarkdown, Git (Version Control System), Integrated Development Environments

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Acquisition, Risk, and Estimation

      Skills you'll gain: Sampling (Statistics), Estimation, Data Collection, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, Data Analysis, Business Risk Management, Probability & Statistics, Statistical Hypothesis Testing, R Programming, Project Estimation

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Using Ruby on Rails with Cloud SQL for PostgreSQL on Cloud Run

      Skills you'll gain: Google Cloud Platform, Cloud Applications, Ruby on Rails, Application Deployment, PostgreSQL, CI/CD, Object-Relational Mapping, Cloud Storage, Database Application, Secure Coding, Relational Databases

      Intermediate · Project · Less Than 2 Hours

    • S

      SAS

      CASL Programming for Distributed Computing in SAS® Viya®

      Skills you'll gain: Data Manipulation, SAS (Software), Data Validation, Data Analysis, Data Access, Exploratory Data Analysis, Statistical Programming, Distributed Computing, Data Transformation, Cloud Computing Architecture, Data Import/Export, Servers

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Probability and Statistical Methods

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistical Modeling, Statistics, Statistical Inference, Probability, R Programming, Applied Mathematics

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Reproducibility in Cancer Informatics

      Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Containerization, Bioinformatics, Health Informatics, Science and Research, Automation, Medical Science and Research, Technical Communication

      Advanced · Course · 1 - 3 Months

    • V

      Vanderbilt University

      From Data to Decisions: Making Predictions with AI

      Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Statistical Analysis, Technical Communication, Probability & Statistics, Data Analysis, Predictive Analytics, Generative AI, Forecasting

      Intermediate · Course · 1 - 4 Weeks

    R learners also search

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    1…434445…48

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

    • Product Design for the Circular Economy: University of Colorado Boulder
    • Finding and Preparing for the Right Job: University of California, Irvine
    • Cómo combinar y analizar datos complejos: University of Maryland, College Park
    • Power BI Integration with AWS and Snowflake: Edureka
    • GenAI for Data Scientists: Coursera Instructor Network
    • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
    • Data Acquisition, Risk, and Estimation: University of Colorado Boulder
    • Using Ruby on Rails with Cloud SQL for PostgreSQL on Cloud Run: Google Cloud
    • CASL Programming for Distributed Computing in SAS® Viya®: SAS
    • Advanced Probability and Statistical Methods: 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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