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    • R Programming

    R Programming 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 Programming Course Catalog

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 4: Applications

      Skills you'll gain: Digital Communications, Image Analysis, Telecommunications, Electrical and Computer Engineering, Embedded Systems, Electronic Systems, Electronics, Engineering Analysis, Applied Mathematics, Algorithms, Quantitative Research, Debugging, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      80 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Programming in C#: A comprehensive approach to C# Fundamentals

      Skills you'll gain: Microsoft Visual Studio, C# (Programming Language), Integrated Development Environments, Program Development, Programming Principles, Computer Programming, Command-Line Interface, Computational Logic

      4.4
      Rating, 4.4 out of 5 stars
      ·
      217 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Access Bioinformatics Databases with Biopython

      Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization Software, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      44 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Advanced Data Structures, RSA and Quantum Algorithms

      Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Computational Thinking, Linear Algebra, Emerging Technologies, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      32 reviews

      Advanced · Course · 1 - 4 Weeks

    • E

      Edureka

      Introduction to PySpark

      Skills you'll gain: PySpark, Apache Spark, Distributed Computing, Big Data, Apache Hadoop, Data Processing, Data Manipulation, Exploratory Data Analysis, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Retrieve Data using Single-Table SQL Queries

      Skills you'll gain: SQL, Query Languages, Data Access, Database Software, Relational Databases, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      333 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Matlab, Data Mapping, Geospatial Information and Technology, Feature Engineering, Medical Imaging, Visualization (Computer Graphics), Applied Machine Learning, Geometric Dimensioning And Tolerancing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Get Started with Android App Development

      Skills you'll gain: Android Studio, Android Development, Android (Operating System), Mobile Development, Application Development, User Interface (UI), User Interface (UI) Design, User Interface and User Experience (UI/UX) Design, Human Computer Interaction, Interaction Design, Usability, Development Environment, Development Testing, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • C

      Coursera Project Network

      Creating Database Tables with SQL

      Skills you'll gain: Relational Databases, Database Design, Database Development, SQL, Database Management, Databases, Data Integrity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      323 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, User Feedback, Performance Analysis, Project Performance, Business Metrics, Natural Language Processing, Project Implementation, Time Series Analysis and Forecasting, Continuous Monitoring

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 4 Weeks

    R Programming learners also search

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

    • Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne
    • Programming in C#: A comprehensive approach to C# Fundamentals: Coursera Project Network
    • Access Bioinformatics Databases with Biopython: Coursera Project Network
    • Advanced Data Structures, RSA and Quantum Algorithms: University of Colorado Boulder
    • Introduction to PySpark: Edureka
    • Retrieve Data using Single-Table SQL Queries: Coursera Project Network
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Introduction to Computer Vision: MathWorks
    • Get Started with Android App Development: SkillUp EdTech
    • Data Science for Health Research: 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 Programming

    R programming is the use of the R computer language for statistical analysis and graphic presentation. R is commonly used in business and research computing environments to analyze and visualize data, then create reports that can be used for decision making. R programming is increasingly more important given the expansion of big data for analysis.‎

    It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.‎

    Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.‎

    Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.‎

    Online R Programming courses offer a convenient and flexible way to enhance your knowledge or learn new R Programming skills. Choose from a wide range of R Programming courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in R Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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