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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

    • U

      University of Maryland, College Park

      Survey Data Collection and Analytics

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Data Collection, Statistical Analysis, Statistical Software, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Statistical Programming, Data Cleansing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Minnesota

      Software Development Lifecycle

      Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Engineering Software, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), Requirements Analysis, Lean Methodologies, Lean Manufacturing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University at Buffalo

      Blockchain

      Skills you'll gain: Blockchain, Test Driven Development (TDD), Cryptography, Application Development, Transaction Processing, Emerging Technologies, Integrated Development Environments, Software Architecture, Network Protocols, Encryption, Web Applications, Program Development, Distributed Computing, Application Programming Interface (API), Microsoft Azure, FinTech, Software Development, Cloud Computing Architecture, Development Environment, Web Development Tools

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      An Introduction to American Law

      Skills you'll gain: Civil Procedures, Civil Law, Personal Injury Law, Commercial Laws, Lawsuits, Court Systems, Legal Proceedings, Plaintiff, Legal Research, Case Law, Law, Regulation, and Compliance, Criminal Investigation and Forensics, Legal Pleadings, Governance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Introduction to Corporate Finance

      Skills you'll gain: Return On Investment, Capital Budgeting, Financial Modeling, Financial Analysis, Financial Planning, Corporate Finance, Business Valuation, Financial Management, Asset Management, Cash Flows, Risk Analysis, Cash Flow Forecasting, Working Capital

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      489 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 1

      Skills you'll gain: Debugging, Computational Thinking, Programming Principles, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Excel/VBA for Creative Problem Solving

      Skills you'll gain: Excel Macros, Peer Review, Visual Basic (Programming Language), Programming Principles, Data Import/Export, Microsoft Excel, Data Structures, Program Development, Computer Programming, Project Design, Simulations, Automation, Spreadsheet Software, Algorithms, UI Components, Debugging, Data Management, User Interface (UI), Data Cleansing, Data Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Amazon Web Services

      AWS Cloud Technical Essentials

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Cloud Security, Serverless Computing, Cloud Storage, Databases, Virtual Private Networks (VPN), Load Balancing, General Networking, Containerization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Lean Methodologies, Data Collection, Process Improvement, Quality Improvement, Process Optimization, Lean Six Sigma, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    R Programming learners also search

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    Beginner R Programming
    R Programming Projects
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    1…212223…289

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

    • Survey Data Collection and Analytics: University of Maryland, College Park
    • Software Development Lifecycle: University of Minnesota
    • Blockchain: University at Buffalo
    • An Introduction to American Law: University of Pennsylvania
    • Introduction to Corporate Finance: University of Pennsylvania
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Introdução à Ciência da Computação com Python Parte 1: Universidade de São Paulo
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Excel/VBA for Creative Problem Solving: University of Colorado Boulder
    • AWS Cloud Technical Essentials: Amazon Web Services

    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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