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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

    • J

      Johns Hopkins University

      Wrangling Data in the Tidyverse

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Processing, Text Mining, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      U
      S

      Multiple educators

      Sustainable and Circular Product Development

      Skills you'll gain: Packaging and Labeling, Human Centered Design, Environmental Regulations, Design Thinking, Product Development, Product Design, Business Leadership, Waste Minimization, Corporate Sustainability, Environmental Laws, Industrial Design, Environmental Engineering, Product Lifecycle Management, Process Engineering, Design Strategies, Reverse Logistics, Logistics, Sustainability Reporting, Environmental Science, Material Handling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Data Driven Decision Making

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills, Data-Driven Decision-Making, Engineering Management, R Programming, Probability & Statistics, Variance Analysis, Regression Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Eindhoven University of Technology

      Improving Your Statistical Questions

      Skills you'll gain: Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Statistical Inference, Statistical Methods, Statistical Analysis, Data Integrity, Data Ethics, Probability & Statistics, R Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      111 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Dartmouth College

      C Programming: Pointers and Memory Management - 4

      Skills you'll gain: C (Programming Language), Embedded Systems, Computer Engineering, System Programming, Operating Systems, Computer Programming Tools, Data Structures, Debugging, Linux

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Building HTTP APIs with Spring

      Skills you'll gain: Spring Boot, Spring Framework, Restful API, API Design, Web Applications, Software Testing, Unit Testing, Object-Relational Mapping, Application Security, Authentications, JSON, Authorization (Computing), Data Access, Dependency Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Microsoft

      Coding and Automation for Data Analysis with Generative AI

      Skills you'll gain: Prompt Engineering, Excel Formulas, Generative AI, Data Pipelines, Data Ethics, Data Processing, Teradata SQL, Debugging, Microsoft Excel, Automation, Artificial Intelligence, Data Analysis, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Social Network Analysis

      Skills you'll gain: Network Analysis, Graph Theory, Social Sciences, Statistical Analysis, R Programming, Sociology, Trend Analysis, Statistical Modeling, Statistical Hypothesis Testing

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Dartmouth College

      Linux Basics: The Command Line Interface - 6

      Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Software, Embedded Systems, Linux Servers, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), File Management, Computer Programming Tools, Performance Tuning, Open Source Technology, OS Process Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Análise de Segmentação de Mercado

      Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Market Research, Customer Insights, Big Data, Analytics, Target Market, Data Analysis, Target Audience, R Programming, Statistical Analysis, Marketing, Unsupervised Learning, Data-Driven Decision-Making, Machine Learning Algorithms, Business Strategy, Consumer Behaviour

      Beginner · Course · 1 - 4 Weeks

    • C

      Codio

      Advanced Django: Introduction to Django Rest Framework

      Skills you'll gain: Django (Web Framework), Postman API Platform, Restful API, Data Validation, Authentications, Authorization (Computing), Application Programming Interface (API), API Design, JSON, Object-Relational Mapping, Model View Controller

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Stability and Capability in Quality Improvement

      Skills you'll gain: Process Capability, Statistical Process Controls, Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Process Improvement, Probability Distribution

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    R learners also search

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    1…333435…48

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

    • Wrangling Data in the Tidyverse: Johns Hopkins University
    • Sustainable and Circular Product Development: University of Colorado Boulder
    • Data Driven Decision Making: University of Colorado Boulder
    • Improving Your Statistical Questions: Eindhoven University of Technology
    • C Programming: Pointers and Memory Management - 4: Dartmouth College
    • Building HTTP APIs with Spring: Vanderbilt University
    • Coding and Automation for Data Analysis with Generative AI: Microsoft
    • Social Network Analysis: Johns Hopkins University
    • Linux Basics: The Command Line Interface - 6: Dartmouth College
    • Análise de Segmentação de Mercado: Fundação Instituto de Administração

    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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