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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

    • 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

    • T

      The Hong Kong University of Science and Technology

      Differential Equations for Engineers

      Skills you'll gain: Differential Equations, Engineering Analysis, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Electrical Engineering, Derivatives

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • J

      Johns Hopkins University

      Statistics for Genomic Data Science

      Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Probability & Statistics, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      371 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      IA generativa en el aula

      Skills you'll gain: Generative AI, Prompt Engineering, ChatGPT, AI Personalization, Education Software and Technology, Large Language Modeling, Artificial Intelligence, Creativity, Data Ethics, Computer Vision, Information Privacy, Ethical Standards And Conduct, Intellectual Property

      4.9
      Rating, 4.9 out of 5 stars
      ·
      587 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Houston

      Powerful Tools for Teaching and Learning: Digital Storytelling

      Skills you'll gain: Storyboarding, Storytelling, Content Creation, Digital Design, Video Editing, Writing, Multimedia, Photo Editing, Scripting, Peer Review, Oral Expression, Editing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      240 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Health Informatics, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Unsupervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Fundamentos Empresariales

      Skills you'll gain: Operations Management, Balance Sheet, Process Analysis, Operational Efficiency, Financial Statement Analysis, Financial Statements, Finance, Financial Accounting, Business Process, Capital Budgeting, Branding, Financial Modeling, Financial Analysis, Brand Strategy, Strategic Marketing, Marketing, Analysis, Business Analysis, Operational Analysis, Business

      4.6
      Rating, 4.6 out of 5 stars
      ·
      439 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Codio

      Introduction to Operating Systems

      Skills you'll gain: File Systems, Operating Systems, OS Process Management, C (Programming Language), System Programming, Virtualization, Data Integrity, Debugging, Systems Design, Performance Tuning, Distributed Computing, Data Storage, Virtual Machines, Command-Line Interface, Computer Systems, Programming Principles, Computer Hardware, Virtualization and Virtual Machines, Scalability, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      256 reviews

      Beginner · 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
      I

      Insper

      Introdução ao Marketing Analítico

      Skills you'll gain: Marketing Analytics, Analytical Skills, Data Analysis, Data Collection, Marketing, Quantitative Research, Market Research, Customer Insights, Data-Driven Decision-Making, Statistical Methods, Consumer Behaviour, Brand Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      798 reviews

      Mixed · Course · 1 - 3 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

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

    • Infectious Disease Modelling: Imperial College London
    • Differential Equations for Engineers: The Hong Kong University of Science and Technology
    • Using SAS Viya REST APIs with Python and R: SAS
    • Statistics for Genomic Data Science: Johns Hopkins University
    • IA generativa en el aula: Universidad Nacional Autónoma de México
    • Powerful Tools for Teaching and Learning: Digital Storytelling: University of Houston
    • Big Data, Genes, and Medicine: The State University of New York
    • Fundamentos Empresariales: University of Pennsylvania
    • Introduction to Operating Systems: Codio
    • عكس وتكامل تسلسل الحمض النووي (DNA ØŒ RNA) باستخدام R: Coursera Project Network

    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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