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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: Responsible Data Analysis

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Statistical Modeling, Data Cleansing, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Combining and Analyzing Complex Data

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

      4.1
      Rating, 4.1 out of 5 stars
      ·
      63 reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API

      Skills you'll gain: Query Languages, Data Manipulation, Metadata Management, Text Mining, Cloud API, Generative AI, Google Cloud Platform, Image Analysis

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Intermediate · Project · Less Than 2 Hours

    • E

      EIT Digital

      Embedded Hardware and Operating Systems

      Skills you'll gain: Embedded Systems, Embedded Software, Internet Of Things, Operating Systems, Real-Time Operating Systems, Wireless Networks, Hardware Architecture, Simulations, C (Programming Language), Network Protocols, Application Programming Interface (API)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      625 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Exploring C

      Skills you'll gain: C (Programming Language), Python Programming, Programming Principles, System Programming, Computer Programming, Unix, Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 1

      Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Imperial College London

      Interventions and Calibration

      Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, R Programming, Differential Equations, Statistical Methods, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The State University of New York

      How to Get Skilled: Introduction to Individual Skills Management (Project-Centered Course)

      Skills you'll gain: Benchmarking, Professional Development, LinkedIn, Planning, Performance Measurement, Performance Analysis, Job Analysis, Organizational Skills, Personal Development, Microsoft Excel, Self-Awareness

      4.1
      Rating, 4.1 out of 5 stars
      ·
      225 reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Antibióticos ¿cuándo, cómo y para qué?

      Skills you'll gain: Preventative Care, Microbiology, Medical Prescription, Public Health, Infectious Diseases, Infection Control, Pharmacology, Pharmacotherapy, Patient Education And Counseling, Health Assessment

      4.3
      Rating, 4.3 out of 5 stars
      ·
      61 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Codio

      Advanced Django: Building a Blog

      Skills you'll gain: Performance Tuning, Django (Web Framework), Authentications, PostgreSQL, Object-Relational Mapping, Model View Controller, Cloud Hosting, User Accounts, Application Security, Configuration Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111 reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Probability & Statistics, Data Validation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Product Managers

      Skills you'll gain: Agile Product Development, Product Management, Generative AI, Product Development, AI Personalization, New Product Development, Product Lifecycle Management, Ideation, Technical Product Management, Data Ethics, Market Analysis, Customer Analysis, Process Development, Brainstorming, Technical Documentation, Artificial Intelligence, Business Ethics

      3.8
      Rating, 3.8 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    R learners also search

    Data
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    Data Science
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    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…262728…48

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

    • Population Health: Responsible Data Analysis: Universiteit Leiden
    • Combining and Analyzing Complex Data: University of Maryland, College Park
    • Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API: Google Cloud
    • Embedded Hardware and Operating Systems: EIT Digital
    • Exploring C : University of Michigan
    • Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
    • Interventions and Calibration: Imperial College London
    • How to Get Skilled: Introduction to Individual Skills Management (Project-Centered Course): The State University of New York
    • Antibióticos ¿cuándo, cómo y para qué?: Universidad Nacional Autónoma de México
    • Advanced Django: Building a Blog: Codio

    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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