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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

    • U

      Universiteit Leiden

      Population Health: Responsible Data Analysis

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Statistical Modeling, Data Cleansing, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • L

      LearnQuest

      Data Processing with Azure

      Skills you'll gain: Microsoft Azure, Big Data, Data Processing, Analytics, Data Pipelines, Databricks, Apache Spark, PySpark, Data Analysis, Data Warehousing, Extract, Transform, Load, Real Time Data, Data Transformation, Scheduling, Data Storage

      3.7
      Rating, 3.7 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      Tufts University

      Building a Healthy Plate

      Skills you'll gain: Nutrition and Diet, Nutrition Education, Preventative Care, Community Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Java Database Connectivity

      Skills you'll gain: Stored Procedure, Hibernate (Java), PL/SQL, Relational Databases, Object-Relational Mapping, SQL, Data Access, Java Platform Enterprise Edition (J2EE), Database Design, Databases, Java, Data Manipulation, Data Mapping, Object Oriented Programming (OOP), Query Languages, Database Management, Database Systems, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      T

      The Hong Kong University of Science and Technology

      Calculus for Engineers

      Skills you'll gain: Calculus, Engineering Calculations, Differential Equations, Integral Calculus, Engineering Analysis, Applied Mathematics, Numerical Analysis, Algebra, Advanced Mathematics, Trigonometry, Physics, Mathematical Theory & Analysis, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Learn Spring Boot in 100 Steps - Beginner to Expert

      Skills you'll gain: JUnit, Spring Boot, Apache Maven, Spring Framework, Unit Testing, Hibernate (Java), Web Applications, Restful API, Application Development, Application Deployment, Application Frameworks, Software Testing, Java, Test Case, Object-Relational Mapping, Bootstrap (Front-End Framework), Development Environment, Database Management, Gradle, Model View Controller

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of London

      Magna Carta and its Legacies: Freedom and protest

      Skills you'll gain: Public History, World History, European History, Policy Analysis, Political Sciences, International Relations, Social Justice, Legal Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Exploratory Data Analysis for the Public Sector with ggplot

      Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Graphic and Visual Design, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis

      5
      Rating, 5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Statistical Process Controls, Statistics, Data Visualization, Probability & Statistics, Statistical Hypothesis Testing, Data Analysis, Scientific Visualization, Systems Analysis, Data Literacy, Data Analysis Software, R Programming, Quality Control

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      S

      Simplilearn

      Programming with C

      Skills you'll gain: C (Programming Language), Data Structures, C++ (Programming Language), Computer Programming, Programming Principles, Data Management, System Programming, Data Storage, Algorithms, Development Environment

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      How Google does Machine Learning 日本語版

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Big Data, Jupyter, Data Ethics, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 3 Months

    R learners also search

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    1…333435…48

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

    • Population Health: Responsible Data Analysis: Universiteit Leiden
    • Data Processing with Azure: LearnQuest
    • Building a Healthy Plate: Tufts University
    • Java Database Connectivity: LearnQuest
    • Calculus for Engineers: The Hong Kong University of Science and Technology
    • Learn Spring Boot in 100 Steps - Beginner to Expert: Packt
    • Magna Carta and its Legacies: Freedom and protest: University of London
    • Exploratory Data Analysis for the Public Sector with ggplot: University of Michigan
    • Data Science Methods for Quality Improvement: University of Colorado Boulder
    • Statistical Methods for Computer Science: Johns Hopkins University

    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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