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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 Pennsylvania

      Intellectual Property Law

      Skills you'll gain: Intellectual Property, Legal Strategy, Brand Awareness, Brand Management, Asset Protection, Regulation and Legal Compliance, Packaging and Labeling, Business Strategy, Law, Regulation, and Compliance, Innovation, Business Valuation, Creativity, Legal Risk, Lawsuits, Musical Composition, Legal Research, Registration, Commercial Laws, Case Law, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Probability Distribution, Correlation Analysis, Probability, Statistical Inference, Regression Analysis, Sample Size Determination, Statistics, Scientific Methods

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

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Integration, Data Quality, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, Exploratory Data Analysis, MySQL, File Management, SQL, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Santa Cruz

      Bayesian Statistics: From Concept to Data Analysis

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Scripting with Alteryx: Python and R for Advanced Workflows

      Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Advanced Analytics, Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Transformation, Risk Modeling

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Cape Town

      Research for Impact

      Skills you'll gain: Strategic Communication, Stakeholder Engagement, Influencing, Research, Strategic Partnership, Program Evaluation, Community Development, Policy Analysis, Change Management, Systems Thinking, Complex Problem Solving, Capacity Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      174 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Foundations of R Programming and Basic Data Manipulation

      Skills you'll gain: Rmarkdown, Data Import/Export, R Programming, Data Manipulation, Data Visualization, Web Scraping, Ggplot2, Plotly, Programming Principles, Tidyverse (R Package), Data Visualization Software, Data Wrangling, Data Cleansing, Statistical Programming, Data Transformation, Data Structures, Scripting Languages, Scripting, Development Environment

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Using Descriptive Statistics to Analyze Data in R

      Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Statistical Methods, Data Manipulation, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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

    • 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

    • Status: Free
      Free
      Y

      Yale University

      Anatomy of the Chest, Neck, Abdomen, and Pelvis

      Skills you'll gain: Cardiology, Anatomy, Obstetrics And Gynecology, Gynecology, Urology, Patient Positioning, Neurology, Pulmonology, Nephrology, Medical Terminology, Pathology, Radiology, General Medical Tests and Procedures, Surgery

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Microsoft

      Introduction to Public Relations

      Skills you'll gain: Media Relations, Public Relations, Target Audience, Communication Planning, Marketing and Public Relations, Strategic Communication, Generative AI Agents, Corporate Communications, Performance Metric, Program Evaluation, Content Creation, Crisis Management, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      71 reviews

      Beginner · Course · 1 - 3 Months

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

    • Intellectual Property Law: University of Pennsylvania
    • Basic Statistics: University of Amsterdam
    • Getting and Cleaning Data: Johns Hopkins University
    • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
    • Scripting with Alteryx: Python and R for Advanced Workflows: Coursera Project Network
    • Research for Impact: University of Cape Town
    • Foundations of R Programming and Basic Data Manipulation: Packt
    • Using Descriptive Statistics to Analyze Data in R: Coursera Project Network
    • Django for Everybody: University of Michigan
    • Entrepreneurship: Launching an Innovative Business: University of Maryland, College Park

    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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