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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

    • U

      University of Pennsylvania

      A Crash Course in Causality: Inferring Causal Effects from Observational Data

      Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Statistical Software, Statistical Modeling, Statistical Inference, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      564 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      D

      Duke University

      Data Science Ethics with R

      Skills you'll gain: Data Ethics, Data Integrity, Data Collection, Data Quality, Data Presentation, Data Literacy, Data Visualization Software, R Programming, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Using SAS Viya REST APIs with Python and R

      Skills you'll gain: SAS (Software), Data Analysis Software, Advanced Analytics, R Programming, Big Data, Image Analysis, Data Science, Time Series Analysis and Forecasting, Natural Language Processing, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Application Programming Interface (API), Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The George Washington University

      Essentials in Clinical Simulations Across the Health Professions

      Skills you'll gain: Clinical Experience, Patient Education And Counseling, Virtual Environment, Medical Equipment and Technology, Health Technology, Business Planning, Continuous Quality Improvement (CQI), Technical Communication, System Implementation, Education Software and Technology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Embedded Systems Software and Development Environments

      Skills you'll gain: Software Configuration Management, Embedded Software, Embedded Systems, Git (Version Control System), Version Control, System Programming, Build Tools, Software Development Tools, C (Programming Language), Development Environment, Software Design, Hardware Architecture, Debugging, Command-Line Interface

      4.5
      Rating, 4.5 out of 5 stars
      ·
      638 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      King Abdullah University of Science and Technology

      Fundamental Skills in Bioinformatics

      Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Methods, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Data Visualization, Programming Principles, Pandas (Python Package), Python Programming, NumPy, Data Manipulation, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      New Models of Business in Society

      Skills you'll gain: Entrepreneurship, Philanthropy, Corporate Sustainability, Stakeholder Engagement, Business Ethics, Stakeholder Management, Environmental Social And Corporate Governance (ESG), Environmental Issue, Business Modeling, Business Analysis, Business Strategy, Business, Business Transformation, Storytelling, Profit and Loss (P&L) Management, Financial Systems, Company, Product, and Service Knowledge, Organizational Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Healthcare Law

      Skills you'll gain: Intellectual Property, Medical Privacy, General Data Protection Regulation (GDPR), Health Systems, Personally Identifiable Information, Health Care Procedure and Regulation, Law, Regulation, and Compliance, Information Privacy, Primary Care, Health Care Administration, Regulatory Compliance, Healthcare Industry Knowledge, Medicare, Health Care, Pharmaceuticals, Compliance Management, Health Policy, Health Disparities, Healthcare Ethics, Regulation and Legal Compliance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      543 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Gut Check: Exploring Your Microbiome

      Skills you'll gain: Microbiology, Bioinformatics, Molecular, Cellular, and Microbiology, Life Sciences, Health Informatics, Big Data, Biostatistics, Data Analysis, Medical Science and Research, Nutrition and Diet, Biology, Nutrition Education, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistical Inference, Statistical Methods, Probability Distribution, Bayesian Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Ethics, Data Science, Quantitative Research, Statistics, Sample Size Determination, Descriptive Statistics, Correlation Analysis

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      322 reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Microsoft

      Microsoft R Programming for Everyone

      Skills you'll gain:

      Beginner · Professional Certificate · 1 - 3 Months

    • U

      Universidades Anáhuac

      Análisis de datos empresariales con R

      Skills you'll gain: R Programming, Business Analytics, Statistical Methods, Statistical Analysis, Advanced Analytics, Data-Driven Decision-Making, Statistical Software, Data Analysis, Unsupervised Learning, Exploratory Data Analysis, Data Visualization, Business Analysis

      Beginner · Course · 1 - 3 Months

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

    • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
    • Data Science Ethics with R: Duke University
    • Using SAS Viya REST APIs with Python and R: SAS
    • Essentials in Clinical Simulations Across the Health Professions: The George Washington University
    • Introduction to Embedded Systems Software and Development Environments: University of Colorado Boulder
    • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
    • New Models of Business in Society: University of Virginia
    • Healthcare Law: University of Pennsylvania
    • Gut Check: Exploring Your Microbiome: University of Colorado Boulder
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder

    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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