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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
      Free
      E

      Erasmus University Rotterdam

      Necessary Condition Analysis (NCA)

      Skills you'll gain: Data Analysis, Statistical Reporting, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, Qualitative Research, R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EDUCBA

      Web Application Development with ASP.NET Core

      Skills you'll gain: ASP.NET, Restful API, Object-Relational Mapping, Web Applications, User Accounts, Data Integrity, Single Sign-On (SSO), Application Programming Interface (API), Authentications, Back-End Web Development, Performance Tuning, Authorization (Computing), Relational Databases, Identity and Access Management, Data Validation, Model View Controller, Multi-Factor Authentication, Data Security, Middleware

      4.8
      Rating, 4.8 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • Status: New
      New
      P

      Packt

      Spring Boot Foundations

      Skills you'll gain: Spring Boot, Spring Framework, Bootstrap (Front-End Framework), Restful API, UI Components, Web Applications, Java, Application Frameworks, Web Development, Hibernate (Java), Model View Controller, Object-Relational Mapping, Authentications

      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 Colorado Boulder

      Regression and Classification

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Probability & Statistics, Supervised Learning, Applied Machine Learning

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Visualizing Data in the Tidyverse

      Skills you'll gain: Ggplot2, Plot (Graphics), Statistical Visualization, Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Histogram, Animations, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      Data Science for Health Research

      Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Data Visualization Software, Regression Analysis, R Programming, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Correlation Analysis, Histogram, Classification And Regression Tree (CART), Data Analysis, Statistical Analysis

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Analysis with Tidyverse

      Skills you'll gain: Tidyverse (R Package), Data Import/Export, Data Wrangling, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • J

      Johns Hopkins University

      Social Network Analysis

      Skills you'll gain: Network Analysis, Graph Theory, Social Sciences, Statistical Analysis, R Programming, Sociology, Trend Analysis, Statistical Modeling, Statistical Hypothesis Testing

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      VLSI chip design with CPS for Industrial Applications

      Skills you'll gain: Embedded Systems, Embedded Software, Electronic Systems, PIC Microcontrollers, Computer Systems, Internet Of Things, Automation, Vibrations, System Programming, Control Systems, C (Programming Language), Programmable Logic Controllers, Hardware Architecture, Peripheral Devices, Electronics, Wireless Networks, Medical Equipment and Technology, Electric Power Systems, Civil Engineering, Structural Engineering

      4.4
      Rating, 4.4 out of 5 stars
      ·
      12 reviews

      Intermediate · Specialization · 3 - 6 Months

    R learners also search

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    1…383940…48

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

    • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
    • Web Application Development with ASP.NET Core: EDUCBA
    • Análise de Segmentação de Mercado: Fundação Instituto de Administração
    • Spring Boot Foundations: Packt
    • Stability and Capability in Quality Improvement: University of Colorado Boulder
    • Regression and Classification: University of Colorado Boulder
    • Visualizing Data in the Tidyverse: Johns Hopkins University
    • Data Science for Health Research: University of Michigan
    • Data Analysis with Tidyverse: University of Colorado Boulder
    • 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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