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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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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Explore the R Course Catalog

    • U

      University of Pennsylvania

      Introduction to Finance and Accounting

      Skills you'll gain: Financial Statements, Return On Investment, Financial Statement Analysis, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Working Capital, Balance Sheet, Accrual Accounting, Cash Flows, Income Statement, Finance, Accounting, Financial Analysis, Tax Planning, Equities, Financial Planning, Business Valuation, Corporate Finance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of California, Santa Cruz

      C, Go, and C++: A Comprehensive Introduction to Programming

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, Graph Theory

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Business Foundations

      Skills you'll gain: Operations Management, Return On Investment, Operational Efficiency, Financial Statements, Financial Statement Analysis, Human Capital, Go To Market Strategy, Process Analysis, Branding, People Management, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Balance Sheet, Consumer Behaviour, Human Resource Strategy, Marketing Planning, Peer Review, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      IBM Java Developer

      Skills you'll gain: Spring Framework, Cloud-Native Computing, Software Development Life Cycle, Hibernate (Java), Containerization, Docker (Software), Git (Version Control System), GitHub, Microservices, HTML and CSS, Object Oriented Programming (OOP), Spring Boot, Object-Relational Mapping, Development Environment, Version Control, Agile Methodology, Web Design and Development, Large Language Modeling, Java Programming, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • A

      Amazon Web Services

      AWS Cloud Solutions Architect

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Computing Architecture, Cloud Storage, Data Architecture, API Gateway, Data Infrastructure, AWS CloudFormation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • G

      Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Interviewing Skills, Data Analysis, Google Analytics, Data Processing, Analytical Skills, Artificial Intelligence, R Programming, Data Storytelling, Project Documentation, Presentations, Portfolio Management, LinkedIn

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      114K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Pennsylvania

      An Introduction to American Law

      Skills you'll gain: Civil Procedures, Civil Law, Personal Injury Law, Commercial Laws, Lawsuits, Court Systems, Legal Proceedings, Plaintiff, Legal Research, Case Law, Law, Regulation, and Compliance, Criminal Investigation and Forensics, Legal Pleadings, Governance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Virginia

      Entrepreneurship: Growing Your Business

      Skills you'll gain: Financial Statements, Financial Accounting, Balance Sheet, Financial Reporting, Financial Statement Analysis, Design Thinking, Annual Reports, Innovation, Process Design, Business Modeling, Customer experience strategy (CX), Entrepreneurship, Philanthropy, Courage, Leadership Development, Strategic Leadership, Corporate Sustainability, Stakeholder Engagement, Professional Development, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Other Programming Languages, Query Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM Back-End Development

      Skills you'll gain: Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Linux Commands, Kubernetes, Unit Testing, Application Deployment, NoSQL, Bash (Scripting Language), MongoDB, Shell Script, Django (Web Framework), Cloud-Native Computing, Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Containerization, Jupyter, Grafana

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…789…48

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

    • Introduction to Finance and Accounting: University of Pennsylvania
    • Introduction to Statistics: Stanford University
    • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
    • Business Foundations: University of Pennsylvania
    • IBM Java Developer: IBM
    • AWS Cloud Solutions Architect: Amazon Web Services
    • Google Data Analytics Capstone: Complete a Case Study: Google
    • Foundations: Data, Data, Everywhere: Google
    • An Introduction to American Law: University of Pennsylvania
    • Entrepreneurship: Growing Your Business: University of Virginia

    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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