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    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

    • E

      Erasmus University Rotterdam

      Multilevel Modeling

      Skills you'll gain: R Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Analysis, Advanced Analytics, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Mastering Laravel Framework and PHP

      Skills you'll gain: PHP (Scripting Language), Object-Relational Mapping, Web Applications, Web Development, Model View Controller, Application Frameworks, Database Management, Relational Databases, Back-End Web Development, Application Security, Server Side, Middleware, Application Programming Interface (API), Authentications

      4.3
      Rating, 4.3 out of 5 stars
      ·
      156 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Scrimba

      Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

      Skills you'll gain: ChatGPT, Development Environment, Text Mining, Generative AI, OpenAI, Database Management, Data Storage, Data Processing, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Development, Data Store, Data Storage Technologies

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      EDUCBA

      Embedded Software Development with C

      Skills you'll gain: Embedded Software, C (Programming Language), Embedded Systems, Debugging, Peripheral Devices, Integrated Development Environments, Development Environment, System Programming, Data Structures, Hardware Troubleshooting, Microarchitecture, Programming Principles, Performance Tuning, Computer Architecture, C++ (Programming Language), Hardware Architecture, Computer Hardware, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      165 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Codio

      Advanced Django: Mastering Django and Django Rest Framework

      Skills you'll gain: Django (Web Framework), Performance Tuning, Postman API Platform, Restful API, Application Programming Interface (API), Data Validation, Authentications, React.js, Authorization (Computing), Secure Coding, PostgreSQL, Object-Relational Mapping, API Design, Model View Controller, Scalability, Application Frameworks, JSON, Full-Stack Web Development, Development Testing, Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      155 reviews

      Advanced · Specialization · 3 - 6 Months

    • A

      Amazon Web Services

      Exam Prep: AWS Certified Cloud Practitioner Foundations

      Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Cloud Computing Architecture, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Security, Cloud Services, Amazon S3, Cloud Computing, Infrastructure As A Service (IaaS), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      105 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Precalculus: Relations and Functions

      Skills you'll gain: Graphing, Data Analysis, R Programming, General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      213 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Foundations of Objective-C App Development

      Skills you'll gain: Objective-C (Programming Language), iOS Development, Apple iOS, Prototyping, Mobile Development, C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Data Structures, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      557 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Intellectual Property in the Healthcare Industry

      Skills you'll gain: Intellectual Property, Healthcare Industry Knowledge, Pharmaceuticals, Health Care Procedure and Regulation, Regulation and Legal Compliance, Legal Strategy, Medical Privacy, Health Policy, Medical Science and Research, Branding, Economics, Policy Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      138 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Dartmouth College

      C Programming: Getting Started - 1

      Skills you'll gain: C (Programming Language), Software Documentation, Programming Principles, Computer Programming, Embedded Software, Debugging, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      248 reviews

      Beginner · Course · 1 - 3 Months

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…232425…48

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

    • Multilevel Modeling: Erasmus University Rotterdam
    • Mastering Laravel Framework and PHP: Board Infinity
    • Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
    • Introduction to Retrieval Augmented Generation (RAG): Coursera Instructor Network
    • Embedded Software Development with C: EDUCBA
    • Advanced Django: Mastering Django and Django Rest Framework: Codio
    • Exam Prep: AWS Certified Cloud Practitioner Foundations: Amazon Web Services
    • Precalculus: Relations and Functions: Johns Hopkins University
    • Foundations of Objective-C App Development: University of California, Irvine
    • Bayesian Statistics: Time Series Analysis: 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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