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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 de los Andes

      Analítica financiera​

      Skills you'll gain: Financial Forecasting, Financial Analysis, Financial Modeling, Analytics, Time Series Analysis and Forecasting, Statistical Analysis, Risk Analysis, Predictive Modeling, Risk Management, R Programming, Data Transformation, Machine Learning Methods, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      85 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Developing the SIR Model

      Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      271 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Django Features and Libraries

      Skills you'll gain: Application Deployment, Django (Web Framework), Application Development, Web Development, Web Applications, Object-Relational Mapping, Database Design, Data Modeling, Authentications, User Accounts, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      394 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      EDUCBA

      IoT Enabled Farming

      Skills you'll gain: Internet Of Things, Big Data, Data Management, Wireless Networks, Predictive Analytics, Emerging Technologies, Data-Driven Decision-Making, Real Time Data, Automation, Environmental Science, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      156 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Real-Time Embedded Systems Concepts and Practices

      Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Hardware Architecture, System Programming, Software Systems, Linux, System Design and Implementation, OS Process Management, C (Programming Language), Performance Tuning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      90 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Washington

      Practical Predictive Analytics: Models and Methods

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Big Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      320 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      58 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Codio

      Intro to Operating Systems 1: Virtualization

      Skills you'll gain: OS Process Management, Operating Systems, C (Programming Language), System Programming, Virtualization, Virtual Machines, Programming Principles, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      157 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Use Python Regular Expressions to Process File Data

      Skills you'll gain: Test Data, Test Case, Data Validation, Verification And Validation, Scripting, Data Cleansing, Python Programming, File Management

      3.9
      Rating, 3.9 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics with Python

      Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning, Regression Analysis

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      107 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Tools for Exploratory Data Analysis in Business

      Skills you'll gain: Extract, Transform, Load, Alteryx, Data Presentation, Interactive Data Visualization, Business Analytics, Statistical Visualization, Data Visualization Software, Power BI, Exploratory Data Analysis, Analytical Skills, Business Intelligence, Ggplot2, Data Processing, Data Analysis, Data Transformation, R Programming, Data Manipulation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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, R Programming, Regression Analysis, 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

    R learners also search

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    1…242526…48

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

    • Analítica financiera​: Universidad de los Andes
    • Developing the SIR Model: Imperial College London
    • Django Features and Libraries: University of Michigan
    • IoT Enabled Farming: EDUCBA
    • Real-Time Embedded Systems Concepts and Practices: University of Colorado Boulder
    • Practical Predictive Analytics: Models and Methods: University of Washington
    • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
    • Intro to Operating Systems 1: Virtualization: Codio
    • Use Python Regular Expressions to Process File Data: Coursera Project Network
    • Accounting Data Analytics with Python: University of Illinois Urbana-Champaign

    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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