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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

    • U

      Universidad Nacional Autónoma de México

      MOOC X MOOC

      Skills you'll gain: Learning Management Systems, Solution Design, Student Engagement, Web Content Accessibility Guidelines, Education Software and Technology

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Machine Learning and Deep Learning

      Skills you'll gain: Deep Learning, Shiny (R Package), Applied Machine Learning, Image Analysis, PyTorch (Machine Learning Library), Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Statistical Machine Learning, Tensorflow, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Dimensionality Reduction, Unsupervised Learning, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Entity Framework Core - A Full Tour

      Skills you'll gain: Stored Procedure, Object-Relational Mapping, Microsoft SQL Servers, SQL, Database Management, Database Design, Performance Tuning, Relational Databases, Data Modeling, Query Languages, .NET Framework, ASP.NET, Development Environment, Data Access, C# (Programming Language), Data Migration, Microsoft Visual Studio

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Job Shop Scheduling Using MILP Optimization on RStudio

      Skills you'll gain: R Programming, Analysis, Mathematical Software

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Practical Deep Learning with Python

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Natural Language Processing, Supervised Learning, Network Architecture, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      International Institute of Information Technology Bangalore

      Introduction to Programming with C Language

      Skills you'll gain: C (Programming Language), Programming Principles, Data Structures, Computer Programming, Algorithms, File Management, Data Storage, Integrated Development Environments, Debugging

      Beginner · Course · 1 - 3 Months

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

      Packt

      Data Analytics and Visualization with Tableau and more

      Skills you'll gain: Data Storytelling, Alteryx, Dashboard, R Programming, Data Visualization Software, Interactive Data Visualization, Data Visualization, Statistical Programming, Tableau Software, Data Analysis Software, Data Manipulation, Statistical Analysis, Data Processing, Data Cleansing, Data Integration, Workflow Management, Data Transformation, Data Structures

      Intermediate · Course · 1 - 4 Weeks

    • B

      Ball State University

      Statistical Methods for Data Science

      Skills you'll gain: Statistical Inference, Probability, Statistics, Statistical Methods, Statistical Modeling, Probability Distribution, Statistical Hypothesis Testing, Bayesian Statistics, Statistical Analysis, Data Science, R Programming, Sampling (Statistics), Simulations, Descriptive Statistics

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Der Werkzeugkasten des Data Scientist

      Skills you'll gain: Rmarkdown, Data Science, Version Control, Big Data, R Programming, Software Development Tools, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Integrated Development Environments, Technical Communication, Software Installation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Spring Framework Master Class: Java Spring - The Modern Way

      Skills you'll gain: Spring Framework, Build Tools, Spring Boot, JUnit, Eclipse (Software), Java, Gradle, Apache Maven, Web Applications, Hibernate (Java), Model View Controller, Object-Relational Mapping, Software Testing, Databases, Dependency Analysis

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Applications and Integration

      Skills you'll gain:

      Beginner · Course

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…454647…48

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

    • MOOC X MOOC: Universidad Nacional Autónoma de México
    • Advanced Machine Learning and Deep Learning: Packt
    • Entity Framework Core - A Full Tour: Packt
    • Job Shop Scheduling Using MILP Optimization on RStudio: Coursera Project Network
    • Practical Deep Learning with Python: Edureka
    • Introduction to Programming with C Language: International Institute of Information Technology Bangalore
    • Data Analytics and Visualization with Tableau and more: Packt
    • Statistical Methods for Data Science: Ball State University
    • Der Werkzeugkasten des Data Scientist: Johns Hopkins University
    • Computational and Graphical Models in Probability: 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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