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    Results for "r programming"

    • IBM

      Introduction to HTML, CSS, & JavaScript

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      488 reviews

      Beginner · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

      4.7
      Rating, 4.7 out of 5 stars
      ·
      921 reviews

      Mixed · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Single Page Web Applications with AngularJS

      Skills you'll gain: Angular, JavaScript Frameworks, Unit Testing, Ajax, Cloud Applications, Web Applications, Front-End Web Development, Javascript, Application Programming Interface (API), Model View Controller, Web Services, Software Architecture, Hypertext Markup Language (HTML), UI Components

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Vanderbilt University

      Android App Development

      Skills you'll gain: Git (Version Control System), JUnit, Android Studio, Android Development, Unit Testing, Version Control, Maintainability, Software Design Patterns, Test Automation, Object Oriented Programming (OOP), Integration Testing, Test Driven Development (TDD), Mobile Development, Development Testing, Software Testing, Testability, Software Engineering, Java Programming, Software Design, User Interface (UI) Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • University of Michigan

      Web Application Technologies and Django

      Skills you'll gain: Django (Web Framework), HTML and CSS, Model View Controller, Application Deployment, Application Frameworks, Web Applications, Web Servers, SQL, Databases, Network Protocols, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • University of Amsterdam

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sampling (Statistics), Probability & Statistics, Regression Analysis, Statistical Inference, Statistical Analysis, Quantitative Research, Probability Distribution, R Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      597 reviews

      Mixed · Course · 1 - 3 Months

    • IBM

      Supervised Machine Learning: Regression

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      732 reviews

      Intermediate · Course · 1 - 3 Months

    • Kennesaw State University

      Six Sigma Tools for Improve and Control

      Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Quality Management, Project Management, Cost Benefit Analysis, Statistical Inference, Document Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Scrimba

      Frontend Development

      Skills you'll gain: User Interface (UI) Design, Color Theory, User Interface (UI), Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), HTML and CSS, Typography, React.js, Web Development Tools, JSON, Design, Event-Driven Programming, Web Design, Javascript, Debugging, Usability, Web Development, Node.JS, Front-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      455 reviews

      Beginner · Specialization · 3 - 6 Months

    • École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      622 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Import/Export, Data Manipulation, Matplotlib, User Interface (UI) Design

      4.1
      Rating, 4.1 out of 5 stars
      ·
      371 reviews

      Beginner · Course · 1 - 3 Months

    • University of California, Davis

      Introduction to Web Development

      Skills you'll gain: Version Control, Hypertext Markup Language (HTML), GitHub, Git (Version Control System), HTML and CSS, Cascading Style Sheets (CSS), Web Design and Development, Web Development, Web Design, Web Content, Front-End Web Development, Web Servers, Image Analysis, Semantic Web, Cloud Hosting, Browser Compatibility

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to r programming

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    1…474849…290

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

    • Introduction to HTML, CSS, & JavaScript: IBM
    • Algorithms for DNA Sequencing: Johns Hopkins University
    • Single Page Web Applications with AngularJS: Johns Hopkins University
    • Android App Development: Vanderbilt University
    • Web Application Technologies and Django: University of Michigan
    • Inferential Statistics: University of Amsterdam
    • Supervised Machine Learning: Regression: IBM
    • Six Sigma Tools for Improve and Control: Kennesaw State University
    • Frontend Development: Scrimba
    • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne

    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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