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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

    • Status: New
      New
      R

      Rutgers the State University of New Jersey

      Robotic Process Automation (RPA) in Accounting and Auditing

      Skills you'll gain: Robotic Process Automation, Business Process Automation, Automation, Financial Auditing, Workflow Management, Artificial Intelligence, Auditing, Accounting and Finance Software, Excel Macros, Emerging Technologies, Digital Transformation, Natural Language Processing, Systems Integration, Unstructured Data, Scalability, Data Management

      Intermediate · Course · 1 - 3 Months

    • C

      Codio

      Intro to Operating Systems 2: Memory Management

      Skills you'll gain: Operating Systems, C (Programming Language), Performance Tuning, System Programming, Virtualization and Virtual Machines, Linux

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado System

      Computational Thinking with Beginning C Programming

      Skills you'll gain: Computational Thinking, Data Collection, Simulations, Data Analysis, Microsoft Visual Studio, C (Programming Language), Statistical Analysis, Automation, Program Development, Data Structures, Programming Principles, Algorithms, Computer Programming, Development Environment, Descriptive Statistics, Problem Management, File Management, Distributed Computing, Debugging, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      431 reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Arm

      Introduction to Microprocessors

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Hardware, Computer Systems, System Programming, Embedded Systems, Data Storage, Computer Programming, C (Programming Language)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      How Google does Machine Learning en Español

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Machine Learning, Data Ethics, Cloud Computing, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Programming in C

      Skills you'll gain: C (Programming Language), Programming Principles, C++ (Programming Language), Algorithms, Data Structures, Other Programming Languages, System Programming, Numerical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      54 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Applying Data Analytics in Accounting

      Skills you'll gain: Internal Controls, Data Visualization, Robotic Process Automation, Accounting and Finance Software, Auditing, Internal Auditing, Alteryx, Financial Auditing, Accounting, Business Process Automation, Analytics, Automation, Text Mining, R Programming, Blockchain, Natural Language Processing, Process Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Politics and Ethics of Data Analytics in the Public Sector

      Skills you'll gain: Data Ethics, Policy Analysis, Political Sciences, Data Analysis, Public Administration, Public Policies, Analytics, Data Presentation, Data-Driven Decision-Making, Ethical Standards And Conduct, R Programming, Machine Learning, Predictive Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Stability and Capability in Quality Improvement

      Skills you'll gain: Process Capability, Statistical Process Controls, Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Process Improvement, Probability Distribution

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Data Structures in C

      Skills you'll gain: C (Programming Language), Data Structures, Application Security, System Programming, Programming Principles, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Algorithms, Data Collection, and Starting to Code

      Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Development Environment, Computer Programming, Data Structures, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      376 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 1

      Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

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

    • Robotic Process Automation (RPA) in Accounting and Auditing: Rutgers the State University of New Jersey
    • Intro to Operating Systems 2: Memory Management: Codio
    • Computational Thinking with Beginning C Programming: University of Colorado System
    • Introduction to Microprocessors: Arm
    • How Google does Machine Learning en Español: Google Cloud
    • Programming in C: University of Michigan
    • Applying Data Analytics in Accounting: University of Illinois Urbana-Champaign
    • Politics and Ethics of Data Analytics in the Public Sector: University of Michigan
    • Stability and Capability in Quality Improvement: University of Colorado Boulder
    • Data Structures in C: University of Michigan

    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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