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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
      U

      University of Michigan

      Database Design and Basic SQL in PostgreSQL

      Skills you'll gain: Database Design, SQL, Relational Databases, PostgreSQL, Database Theory, Database Management, Data Modeling, Databases, Data Integrity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Fundamentos Empresariales

      Skills you'll gain: Operations Management, Balance Sheet, Process Analysis, Operational Efficiency, Financial Statement Analysis, Financial Statements, Finance, Financial Accounting, Business Process, Capital Budgeting, Branding, Financial Modeling, Financial Analysis, Brand Strategy, Strategic Marketing, Marketing, Analysis, Business Analysis, Operational Analysis, Business

      4.6
      Rating, 4.6 out of 5 stars
      ·
      441 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Graph Theory

      Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Network Routing, Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Linear Algebra, C++ (Programming Language), Calculus, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      Architecting Solutions on AWS

      Skills you'll gain: Serverless Computing, AWS Identity and Access Management (IAM), Event-Driven Programming, Solution Architecture, Cloud Computing Architecture, Amazon Web Services, API Gateway, Hybrid Cloud Computing, Multi-Tenant Cloud Environments, Information Technology Architecture, Cloud Computing, Performance Tuning, Amazon DynamoDB, Amazon S3, Cloud Security, Amazon CloudWatch, AWS Kinesis, Containerization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      497 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Introduction to HTML

      Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Calculating Descriptive Statistics in R

      Skills you'll gain: Descriptive Statistics, Data Analysis, Box Plots, R Programming, Statistical Analysis, Histogram, Probability & Statistics, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      52 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      MathWorks Computer Vision Engineer

      Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Data Visualization, Automation, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Spatial Data Analysis, Predictive Modeling, Visualization (Computer Graphics), Data Synthesis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      302 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Pandas (Python Package), Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      736 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Cloudera

      Modern Big Data Analysis with SQL

      Skills you'll gain: Database Design, SQL, Apache Hive, Relational Databases, Databases, Database Management, Big Data, Database Systems, MySQL, Data Management, Query Languages, Amazon S3, Apache Hadoop, Data Storage, Operational Databases, Cloud Storage, Performance Tuning, PostgreSQL, Data Manipulation, Virtual Machines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Introduction To Swift Programming

      Skills you'll gain: Swift Programming, iOS Development, Apple iOS, Apple Xcode, Mobile Development, Objective-C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Integrated Development Environments, Image Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      944 reviews

      Intermediate · Course · 1 - 3 Months

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
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    1…424344…291

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

    • Database Design and Basic SQL in PostgreSQL: University of Michigan
    • Fundamentos Empresariales: University of Pennsylvania
    • Introduction to Graph Theory: University of California San Diego
    • The Finite Element Method for Problems in Physics: University of Michigan
    • Architecting Solutions on AWS: Amazon Web Services
    • Introduction to HTML: Coursera Project Network
    • Calculating Descriptive Statistics in R: Coursera Project Network
    • MathWorks Computer Vision Engineer: MathWorks
    • Supervised Machine Learning: Regression: IBM
    • Modern Big Data Analysis with SQL: Cloudera

    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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