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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

    • I

      IBM

      Introduction to Data Engineering

      Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Data Collection and Processing with Python

      Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      Infosec

      Python for Cybersecurity

      Skills you'll gain: MITRE ATT&CK Framework, Cyber Threat Hunting, Threat Detection, Threat Modeling, Cybersecurity, Network Security, System Monitoring, Cyber Operations, Continuous Monitoring, Cyber Threat Intelligence, Endpoint Security, Incident Response, Scripting, Network Monitoring, Command-Line Interface, Python Programming, Data Access, Authorization (Computing), IT Automation, Intrusion Detection and Prevention

      4.5
      Rating, 4.5 out of 5 stars
      ·
      501 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Machine Learning Algorithms with R in Business Analytics

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

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Java Programming: Principles of Software Design

      Skills you'll gain: Object Oriented Programming (OOP), Java, Software Engineering, Programming Principles, Computer Programming, Software Design, Algorithms, Data Structures, Performance Testing, Debugging, Application Programming Interface (API), Development Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM Mainframe Developer

      Skills you'll gain: Mainframe Computing, COBOL (Programming Language), Software Development Life Cycle, z/OS, Unit Testing, Systems Analysis, Job Control Language (JCL), IBM DB2, Systems Development, Debugging, Pseudocode, Software Development Methodologies, Virtualization, Agile Methodology, Software Development, Test Driven Development (TDD), Programming Principles, Report Writing, Relational Databases, Editing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      University of California San Diego

      Designing, Running, and Analyzing Experiments

      Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, Usability, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, UI/UX Research, R Programming, User Experience, Research Design, Data Collection, Human Computer Interaction, Statistical Modeling, Regression Analysis

      3.6
      Rating, 3.6 out of 5 stars
      ·
      592 reviews

      Intermediate · Course · 1 - 3 Months

    • N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      Introduction to Agile Development and Scrum

      Skills you'll gain: Agile Software Development, Agile Methodology, Kanban Principles, Agile Project Management, User Story, Sprint Retrospectives, Sprint Planning, Workflow Management, Performance Metric, Team Oriented, Backlogs, Performance Measurement, Lean Methodologies, Continuous Improvement Process, Prioritization, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Django for Everybody

      Skills you'll gain: Application Deployment, Django (Web Framework), Object-Relational Mapping, HTML and CSS, Model View Controller, jQuery, Ajax, JSON, Database Design, SQL, Application Frameworks, Databases, Application Development, Javascript, Object Oriented Programming (OOP), Web Development, Data Modeling, Application Security, Web Applications, Web Servers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    R Programming learners also search

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    1…303132…289

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

    • Introduction to Data Engineering: IBM
    • Data Collection and Processing with Python: University of Michigan
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Python for Cybersecurity: Infosec
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • Machine Learning Algorithms with R in Business Analytics: University of Illinois Urbana-Champaign
    • Java Programming: Principles of Software Design: Duke University
    • IBM Mainframe Developer: IBM
    • Designing, Running, and Analyzing Experiments: University of California San Diego
    • Machine Learning for Trading: New York Institute of Finance

    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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