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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
      T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Regression Analysis, Descriptive Statistics, Statistical Inference, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Infectious Disease Modelling

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      293 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Michigan

      Django for Everybody

      Skills you'll gain: Application Deployment, Django (Web Framework), Object-Relational Mapping, HTML and CSS, Model View Controller, jQuery, Ajax, JSON, Database Design, SQL, Application Frameworks, Databases, Application Development, Javascript, Object Oriented Programming (OOP), Web Development, Data Modeling, Application Security, Web Applications, Web Servers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      عكس وتكامل تسلسل الحمض النووي (DNA ، RNA) باستخدام R

      Skills you'll gain: Bioinformatics, R Programming, Molecular Biology, Data Manipulation, Programming Principles, Data Processing

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of New Mexico

      International Business I

      Skills you'll gain: Social Sciences, International Relations, Political Sciences, Economic Development, Global Marketing, Socioeconomics, Cultural Diversity, World History, Business Economics, Economics, Business, Financial Market

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Entrepreneurship: Launching an Innovative Business

      Skills you'll gain: Customer Analysis, Commercialization, Business Modeling, Strategic Decision-Making, Innovation, Entrepreneurship, Entrepreneurial Finance, Market Opportunities, Business Planning, New Product Development, Sales Pipelines, Sales Strategy, Ideation, Sales Presentation, Product Development, Team Building, Business Strategies, Design Thinking, Capital Markets, Finance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      64 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • E

      ESSEC Business School

      Foundations of strategic business analytics

      Skills you'll gain: Business Analytics, Forecasting, Data Presentation, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, Communication, Business Strategy, Business, Statistics, Data Analysis, Data Visualization, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      654 reviews

      Mixed · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • D

      Duke University

      Entrepreneurial Finance: Strategy and Innovation

      Skills you'll gain: Financial Modeling, Blockchain, FinTech, Entrepreneurial Finance, Financial Market, Business Valuation, Risk Management, Excel Formulas, Market Data, Emerging Technologies, Cryptography, Risk Analysis, Fundraising and Crowdsourcing, Financial Analysis, Equities, Probability Distribution, Investments, Cryptographic Protocols, Private Equity, Financial Regulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Automate R scripts with GitHub Actions: Deploy a model

      Skills you'll gain: R Programming, Google Sheets, Applied Machine Learning, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Command-Line Interface, Version Control

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Financial Planning for Young Adults

      Skills you'll gain: Financial Planning, Investments, Budgeting, Risk Management, Goal Setting, Loans, Finance, Insurance, Credit Risk

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    R learners also search

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    1…131415…48

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

    • Practical Time Series Analysis: The State University of New York
    • Infectious Disease Modelling: Imperial College London
    • Django for Everybody: University of Michigan
    • عكس وتكامل تسلسل الحمض النووي (DNA ØŒ RNA) باستخدام R: Coursera Project Network
    • International Business I: University of New Mexico
    • Entrepreneurship: Launching an Innovative Business: University of Maryland, College Park
    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
    • Foundations of strategic business analytics: ESSEC Business School
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Entrepreneurial Finance: Strategy and Innovation: Duke 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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