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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 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

    • 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

    • 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
      ·
      588 reviews

      Beginner · Course · 1 - 4 Weeks

    • É

      École Polytechnique

      Photovoltaic solar energy

      Skills you'll gain: Data Storage Technologies, Electrical Power, Electrical Systems, Energy and Utilities, Environmental Science, Project Finance, Power Electronics, Semiconductors, Economics, Basic Electrical Systems, Environment and Resource Management, Electrical Engineering, Chemical Engineering, Chemistry

      4.2
      Rating, 4.2 out of 5 stars
      ·
      473 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Writing, Running, and Fixing Code in C

      Skills you'll gain: Debugging, Software Testing, Program Development, Pseudocode, Simulations, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface

      4.3
      Rating, 4.3 out of 5 stars
      ·
      802 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      Six Sigma Advanced Analyze Phase

      Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Process Analysis, Statistical Methods, Statistical Analysis, Statistics, Data Analysis, Analytical Skills, Variance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      950 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      商务基础 (中文版)

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Operations Management, Return On Investment, Process Analysis, Financial Accounting, Business Operations, Operational Efficiency, Financial Reporting, Income Statement, Capital Budgeting, Business Process, Marketing, Finance, Financial Modeling, Strategic Marketing, Marketing Strategies, Brand Management, Business Planning, Business Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      339 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      303 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Building Web Applications in Django

      Skills you'll gain: Django (Web Framework), Object-Relational Mapping, Database Design, Model View Controller, SQL, Databases, Object Oriented Programming (OOP), Web Applications, Data Modeling, Application Security, Hypertext Markup Language (HTML), Software Design Patterns, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      777 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Santa Cruz

      C for Everyone: Structured Programming

      Skills you'll gain: C (Programming Language), Debugging, C++ (Programming Language), Data Structures, Computer Programming, Command-Line Interface, Algorithms, Integrated Development Environments, Program Development, File Systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      765 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Django Application Development with SQL and Databases

      Skills you'll gain: Django (Web Framework), Object-Relational Mapping, SQL, Bootstrap (Front-End Framework), Relational Databases, Database Management, Database Design, Full-Stack Web Development, Databases, Cloud Applications, Web Applications, Application Deployment, Authentications, Model View Controller, UI Components, Application Development, Authorization (Computing), Responsive Web Design, Content Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      322 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Tidymodels in R: Building tidy machine learning models

      Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Statistical Modeling, Performance Tuning

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Powerful Tools for Teaching and Learning: Digital Storytelling: University of Houston
    • Introdução ao Marketing Analítico: Insper
    • IA generativa en el aula: Universidad Nacional Autónoma de México
    • Photovoltaic solar energy: École Polytechnique
    • Writing, Running, and Fixing Code in C: Duke University
    • Six Sigma Advanced Analyze Phase: Kennesaw State University
    • 商务基础 (中文版): University of Pennsylvania
    • Precalculus through Data and Modelling: Johns Hopkins University
    • Building Web Applications in Django: University of Michigan
    • C for Everyone: Structured Programming: University of California, Santa Cruz

    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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