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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

    • N

      Northeastern University

      Data-Driven Systems: DBMS, SQL & Data Modeling

      Skills you'll gain: Database Design, Database Theory, MongoDB, Database Development, Database Management Systems, Databases, Data Modeling, Database Architecture and Administration, NoSQL, Relational Databases, Unified Modeling Language, SQL, Data Integrity, Query Languages, Performance Tuning, Conceptual Design

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      From Data to Decisions: Making Predictions with AI

      Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Statistical Analysis, Technical Communication, Probability & Statistics, Data Analysis, Predictive Analytics, Generative AI, Forecasting

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Probability and Random Variables

      Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Data Analysis, Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Quantitative Research Methods: Tools for Data Analysis

      Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Literacy, Data Analysis, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, R Programming, Data Presentation, Data Collection, Correlation Analysis, Data Ethics

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Django (Python) Web Framework - The Comprehensive Guide

      Skills you'll gain: Django (Web Framework), Object-Relational Mapping, Restful API, Bootstrap (Front-End Framework), Model View Controller, Application Deployment, Authentications, Web Development, User Accounts, Query Languages, Database Management, Authorization (Computing), Development Environment, Data Migration, User Interface (UI), Data Modeling

      Intermediate · Course · 3 - 6 Months

    • S

      Sungkyunkwan University

      Machine Learning for Smart Beta

      Skills you'll gain: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Supervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Cómo manejar datos faltantes

      Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Web Development with Rust

      Skills you'll gain: Restful API, System Programming, API Design, Rust (Programming Language), Web Frameworks, Server Side, Web Development, Application Programming Interface (API), Back-End Web Development, Web Servers, Web Applications, Object-Relational Mapping, Secure Coding, Software Documentation, Database Development

      Intermediate · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Public Engagement for Scientists

      Skills you'll gain: Technical Communication, Oral Expression, Data Presentation, Data Ethics, Technical Writing, Report Writing, Persuasive Communication, Writing, Media and Communications, Graphic and Visual Design, Research Reports, Interpersonal Communications, Data Cleansing, Design Elements And Principles

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      M

      Maven Analytics

      Complete Visual Guide to Machine Learning

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Workflow Management, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Histogram, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Quality Assurance, Random Forest Algorithm

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      لغة البرمجة C++ لمبرمجي اللغة C، الجزء (أ)

      Skills you'll gain: C and C++, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, C (Programming Language), Algorithms, Programming Principles, Data Structures, Secure Coding

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      .NET Core Microservices - The Complete Guide (.NET 6 MVC)

      Skills you'll gain: Microservices, .NET Framework, Microsoft Azure, Software Architecture, Object-Relational Mapping, API Gateway, Authentications, Data Storage, Software Development, Systems Architecture, Model View Controller, Application Programming Interface (API), Middleware, Restful API, Authorization (Computing), User Interface (UI)

      Beginner · Course · 3 - 6 Months

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

    • Data-Driven Systems: DBMS, SQL & Data Modeling: Northeastern University
    • From Data to Decisions: Making Predictions with AI: Vanderbilt University
    • Foundations of Probability and Random Variables: Johns Hopkins University
    • Quantitative Research Methods: Tools for Data Analysis: Coursera Instructor Network
    • Django (Python) Web Framework - The Comprehensive Guide: Packt
    • Machine Learning for Smart Beta: Sungkyunkwan University
    • Cómo manejar datos faltantes: University of Maryland, College Park
    • Web Development with Rust: Edureka
    • Public Engagement for Scientists: Illinois Tech
    • Complete Visual Guide to Machine Learning: Maven Analytics

    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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