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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

    • C

      Coursera Project Network

      MLOps in R: Deploying machine learning models using vetiver

      Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, Tidyverse (R Package), R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Docker (Software), Application Programming Interface (API)

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      S

      Stanford University

      How Software Ate Finance

      Skills you'll gain: FinTech, Payment Systems, Financial Services, Financial Market, Capital Markets, Financial Trading, Asset Management, Consumer Lending, Retail Banking, Banking, Financial Regulation, Investment Management, Digital Assets, Technology Strategies, Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      155 reviews

      Mixed · Course · 1 - 3 Months

    • A

      Arm

      Arm Cortex-M Processors Overview

      Skills you'll gain: Microarchitecture, Computer Architecture, Embedded Software, Embedded Systems, Hardware Architecture, System Requirements, Product Support

      4.6
      Rating, 4.6 out of 5 stars
      ·
      128 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Linear Regression

      Skills you'll gain: Regression Analysis, R Programming, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Probability & Statistics, Linear Algebra

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Corporate Entrepreneurship: Innovating within Corporations

      Skills you'll gain: Proposal Development, Business Modeling, Innovation, Entrepreneurship, Customer Analysis, Entrepreneurial Finance, Business Valuation, Market Opportunities, Corporate Strategy, New Business Development, Internal Auditing, Corporate Finance, Financial Modeling, Internal Communications, Financial Statements, Business Strategy, Corporate Accounting, Project Finance, Business Metrics, Value Propositions

      4.6
      Rating, 4.6 out of 5 stars
      ·
      267 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Pointers, Arrays, and Recursion

      Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      343 reviews

      Beginner · Course · 1 - 3 Months

    • L

      LearnQuest

      Java Enterprise Edition

      Skills you'll gain: Java Platform Enterprise Edition (J2EE), Application Deployment, Web Applications, Application Servers, Java, Object-Relational Mapping, Application Development, Web Development, Web Servers, Application Frameworks, Scripting, Middleware, Server Side, Javascript and jQuery, Data Storage, Apache Tomcat, Enterprise Architecture, Data Sharing, Hypertext Markup Language (HTML), Model View Controller

      4.6
      Rating, 4.6 out of 5 stars
      ·
      210 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of California, Davis

      Principles of Secure Coding

      Skills you'll gain: Secure Coding, Application Security, Software Design, Programming Principles, Debugging, Program Development, Computer Programming, C (Programming Language), Software Development Methodologies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      366 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      計算機程式設計 (Computer Programming)

      Skills you'll gain: Programming Principles, Computer Programming, C (Programming Language), Data Structures, Computer Science, Algorithms, Program Development, Command-Line Interface, Functional Design, Debugging, Data Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      367 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University at Buffalo

      Data Analysis and Visualization

      Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Visualization Software, Data-Driven Decision-Making, Business Analytics, Data Analysis, Minitab, Data Cleansing, Statistical Analysis, Data Quality, Process Analysis, Business Process, Business Strategies, Key Performance Indicators (KPIs)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      159 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      C++程序设计

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, C (Programming Language), Software Design Patterns, File Management, Data Structures, Algorithms, Maintainability, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      812 reviews

      Mixed · Course · 1 - 3 Months

    R learners also search

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    1…222324…48

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

    • MLOps in R: Deploying machine learning models using vetiver: Coursera Project Network
    • How Software Ate Finance: Stanford University
    • Arm Cortex-M Processors Overview: Arm
    • Linear Regression: Illinois Tech
    • Corporate Entrepreneurship: Innovating within Corporations: University of Maryland, College Park
    • Pointers, Arrays, and Recursion: Duke University
    • Java Enterprise Edition: LearnQuest
    • Principles of Secure Coding: University of California, Davis
    • 計算機程式設計 (Computer Programming): National Taiwan University
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins 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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