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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: Free Trial
      Free Trial
      I

      Illinois Tech

      Model Diagnostics and Remedial Measures

      Skills you'll gain: Regression Analysis, Data Validation, Feature Engineering, Exploratory Data Analysis, Statistical Modeling, Data Transformation, Statistical Methods, Plot (Graphics), Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Statistical Inference, Linear Algebra, Statistical Hypothesis Testing, Probability Distribution

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Control Charts

      Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Quality Control, Plot (Graphics), Data Literacy, Statistical Analysis, R Programming

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Infosec

      C++ Interacting with the World and Error Handling

      Skills you'll gain: Application Security, System Programming, Secure Coding, C++ (Programming Language), C (Programming Language), Debugging, Embedded Systems, Interoperability, Data Validation

      2.8
      Rating, 2.8 out of 5 stars
      ·
      6 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Applied Math for Materials Science and Engineering

      Skills you'll gain: Integral Calculus, Calculus, Engineering Calculations, Advanced Mathematics, Applied Mathematics, Mathematical Theory & Analysis, Engineering Analysis, General Mathematics, Mathematical Modeling, Differential Equations, Derivatives

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      GO Programming for Everyone: Part 2

      Skills you'll gain: Go (Programming Language), Data Structures, Object Oriented Design, Object Oriented Programming (OOP), Programming Principles, Unit Testing, Algorithms, Computer Programming, Software Testing, Computer Science, C (Programming Language), Integration Testing, Debugging, System Programming, Software Design

      Intermediate · Course · 1 - 3 Months

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

      Microsoft

      Full-Stack Developer Capstone Project

      Skills you'll gain: ASP.NET, Restful API, Full-Stack Web Development, Performance Tuning, .NET Framework, Application Programming Interface (API), Cloud Development, Data Modeling, Development Environment, Cloud Applications, Software Development Tools, Object-Relational Mapping, Application Deployment, Web Development, Software Development, Cloud Infrastructure, Web Applications, UI Components, Back-End Web Development, Cloud Platforms

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Advanced RAG with Vector Databases and Retrievers

      Skills you'll gain:

      Intermediate · Course

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Design of CPS with ARM processor using Embedded C

      Skills you'll gain: Embedded Systems, Embedded Software, Computer Systems, Internet Of Things, System Programming, C (Programming Language), Hardware Architecture, Peripheral Devices, Wireless Networks, Computer Architecture, Cybersecurity, Cloud Computing, Development Environment, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Data Analysts

      Skills you'll gain: Generative AI, Data Analysis, Advanced Analytics, OpenAI, AI Personalization, Analytics, Data Transformation, Anomaly Detection, Predictive Analytics, Data Cleansing, Data Processing, Machine Learning Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Logistic Regression and Prediction for Health Data

      Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Statistical Modeling, Classification And Regression Tree (CART), Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Risk Analysis, Descriptive Statistics

      Intermediate · Course · 1 - 4 Weeks

    • D

      Dartmouth College

      Reflections from 40 Years Fighting International Epidemics

      Skills you'll gain: Infectious Diseases, Epidemiology, Public Health and Disease Prevention, Public Health, Emergency Response, Health Care, Health Systems, Health Policy, Medical Science and Research, Liberal Arts, Direct Patient Care, Cultural Sensitivity, Storytelling

      Beginner · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Análise de Segmentação de Mercado

      Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Market Research, Customer Insights, Big Data, Analytics, Target Market, Data Analysis, Target Audience, R Programming, Statistical Analysis, Marketing, Unsupervised Learning, Data-Driven Decision-Making, Machine Learning Algorithms, Business Strategy, Consumer Behaviour

      Beginner · Course · 1 - 4 Weeks

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…424344…48

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

    • Model Diagnostics and Remedial Measures: Illinois Tech
    • RStudio for Six Sigma - Control Charts: Coursera Project Network
    • C++ Interacting with the World and Error Handling: Infosec
    • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
    • GO Programming for Everyone: Part 2: University of California, Santa Cruz
    • Full-Stack Developer Capstone Project: Microsoft
    • Advanced RAG with Vector Databases and Retrievers: IBM
    • Design of CPS with ARM processor using Embedded C: L&T EduTech
    • GenAI for Data Analysts: Coursera Instructor Network
    • Logistic Regression and Prediction for Health Data: 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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