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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
      I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      436 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Machine Learning Algorithms with R in Business Analytics

      Skills you'll gain: Exploratory Data Analysis, R Programming, Analytics, Business Analytics, Statistical Machine Learning, Applied Machine Learning, Predictive Modeling, Unsupervised Learning, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Predictive Analytics, Data Analysis, Supervised Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Vector Calculus for Engineers

      Skills you'll gain: Integral Calculus, Engineering Calculations, Calculus, Engineering Analysis, Engineering, Geometry, Advanced Mathematics, Mechanical Engineering, Applied Mathematics, Electrical Engineering, Physics, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Building Generative AI-Powered Applications with Python

      Skills you'll gain: Large Language Modeling, Generative AI, OpenAI, Web Applications, Prompt Engineering, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Web Development, Natural Language Processing, Application Development, HTML and CSS, Python Programming, Flask (Web Framework)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      176 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Internet History, Technology, and Security

      Skills you'll gain: Network Security, OSI Models, Network Administration, Network Protocols, Network Architecture, TCP/IP, Web Applications, Computer Networking, Encryption, Internet Of Things, Web Development, Innovation, Emerging Technologies, Hypertext Markup Language (HTML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Analytics for Decision Making

      Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Process Optimization, Data-Driven Decision-Making, Statistics, Business Mathematics, Manufacturing Operations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      260 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      HTML and CSS: Building a Single-Page Website

      Skills you'll gain: Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), HTML and CSS, Web Development, Web Applications, Web Design and Development, Web Design, Front-End Web Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      542 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Arranging and Visualizing Data in R

      Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Tidyverse (R Package), Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Data Import/Export

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Pointers, Arrays, and Recursion

      Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      345 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Intelligent Digital Factories

      Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Computer Vision, Image Analysis, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Embedded Systems, Machine Learning, Civil Engineering, Development Environment, Wireless Networks, Automation, Digital Transformation, System Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      302 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Enhance your Data Analytics Career

      Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Prompt Engineering, ChatGPT, Data Ethics, Data Visualization Software, SQL, Python Programming, Query Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      116 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    R Programming learners also search

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

    • Statistics for Data Science with Python: IBM
    • Machine Learning Algorithms with R in Business Analytics: University of Illinois Urbana-Champaign
    • Vector Calculus for Engineers: The Hong Kong University of Science and Technology
    • Building Generative AI-Powered Applications with Python: IBM
    • Internet History, Technology, and Security: University of Michigan
    • Analytics for Decision Making: University of Minnesota
    • HTML and CSS: Building a Single-Page Website: Coursera Project Network
    • Arranging and Visualizing Data in R : University of Michigan
    • Pointers, Arrays, and Recursion: Duke University
    • Intelligent Digital Factories: L&T EduTech

    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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