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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

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      ARM Cortex (STM32) Deep Dive: Mastering Embedded Systems

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      40 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Building on the SIR Model

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Epidemiology, Infectious Diseases, R Programming, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Genentech

      Making Data Science Work for Clinical Reporting

      Skills you'll gain: Clinical Data Management, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, Data Quality, Medical Privacy, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Methodology

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Identifying Security Vulnerabilities in C/C++Programming

      Skills you'll gain: Secure Coding, Application Security, C and C++, Linux, Vulnerability Assessments, Security Engineering, User Accounts, Data Validation, Debugging, Cryptography, C (Programming Language), Identity and Access Management, Encryption, File Management, OS Process Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      80 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Nanjing University

      计算机系统基础(一) :程序的表示、转换与链接

      Skills you'll gain: C (Programming Language), Computer Systems, Data Structures, System Programming, Programming Principles, Computer Architecture, Computer Programming, Operating Systems, Data Storage, Computer Hardware, Application Security, Software Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Intro to Lean Six Sigma and Project Identification Methods

      Skills you'll gain: Process Mapping, Lean Six Sigma, Six Sigma Methodology, Process Improvement, Quality Improvement, Risk Management, Continuous Improvement Process, Business Requirements, Customer Analysis, Key Performance Indicators (KPIs), Project Documentation, Project Planning, Project Scoping, Project Management, Goal Setting

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Web Development with Python

      Skills you'll gain: Web Development, Flask (Web Framework), Restful API, Selenium (Software), Front-End Web Development, Web Applications, Full-Stack Web Development, Secure Coding, Object-Relational Mapping, JavaScript Frameworks, Application Security, Application Deployment, Cloud Applications, HTML and CSS, Back-End Web Development, Databases, Application Programming Interface (API), Microsoft Azure, Vue.JS, Relational Databases

      3.7
      Rating, 3.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Clinical Natural Language Processing

      Skills you'll gain: Natural Language Processing, Text Mining, Clinical Data Management, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data

      3.7
      Rating, 3.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      C Programming: Language Foundations - 2

      Skills you'll gain: Computer Programming Tools, C (Programming Language), Programming Principles, Embedded Systems, Program Development, Computer Engineering, Development Environment, Algorithms, Data Structures, Computer Programming, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Spring Data Repositories

      Skills you'll gain: Spring Framework, Hibernate (Java), Object-Relational Mapping, Transaction Processing, Databases, Java, Data Access, Restful API, Web Services, Middleware

      3.9
      Rating, 3.9 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      ARM Cortex (STM32) Fundamentals: Building Embedded Systems

      Skills you'll gain: Embedded Systems, Embedded Software, C (Programming Language), Programming Principles, Hardware Architecture, Computer Architecture, Debugging, Peripheral Devices

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Six Sigma for Process Improvement

      Skills you'll gain: Statistical Process Controls, Lean Methodologies, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Improvement, Continuous Improvement Process, Process Capability, Business Process, Project Risk Management, Project Management, Root Cause Analysis, Product Design, Team Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    R learners also search

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    1…323334…48

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

    • ARM Cortex (STM32) Deep Dive: Mastering Embedded Systems: EDUCBA
    • Building on the SIR Model: Imperial College London
    • Making Data Science Work for Clinical Reporting: Genentech
    • Identifying Security Vulnerabilities in C/C++Programming: University of California, Davis
    • 计算机系统基础(一) :程序的表示、转换与链接: Nanjing University
    • Intro to Lean Six Sigma and Project Identification Methods : SkillUp EdTech
    • Web Development with Python: Microsoft
    • Clinical Natural Language Processing: University of Colorado System
    • C Programming: Language Foundations - 2: Dartmouth College
    • Spring Data Repositories: LearnQuest

    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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