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    Results for "r programming"

    • University of California San Diego

      Comparing Genes, Proteins, and Genomes (Bioinformatics III)

      Skills you'll gain: Bioinformatics, Molecular Biology, Algorithms, Computational Thinking, Computer Programming Tools, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Intermediate · Course · 1 - 3 Months

    • Instituto Tecnológico de Aeronáutica

      TDD – Desenvolvimento de Software Guiado por Testes

      Skills you'll gain: Test Driven Development (TDD), Unit Testing, JUnit, Test Automation, Software Testing, Testability, Maintainability, Software Design, Software Development, Object Oriented Programming (OOP), Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      410 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Meta

      APIs

      Skills you'll gain: Restful API, Django (Web Framework), API Design, Software Documentation, Application Programming Interface (API), Authentications, Authorization (Computing), Test Tools, Debugging, JSON, Performance Tuning, Data Validation, Extensible Markup Language (XML)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      335 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Rice University

      Principles of Computing (Part 1)

      Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      584 reviews

      Intermediate · Course · 1 - 3 Months

    • SAS

      Getting Started with SAS Visual Analytics

      Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Data Visualization, Business Analytics, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Data Access, Business Reporting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      882 reviews

      Beginner · Course · 1 - 4 Weeks

    • Board Infinity

      C# for .NET Developers

      Skills you'll gain: C# (Programming Language), ASP.NET, .NET Framework, Object Oriented Programming (OOP), Computer Programming, Web Applications, Programming Principles, Debugging, Development Environment

      4.1
      Rating, 4.1 out of 5 stars
      ·
      270 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 3 Months

    • University of Pennsylvania

      Patent Law

      Skills you'll gain: Intellectual Property, Legal Strategy, Legal Risk, Regulation and Legal Compliance, Case Law, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      285 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Project Network

      Build a mobile app with Google Sheets on Glide and no coding

      Skills you'll gain: Mobile Development, Google Sheets, Application Development, Cloud Applications, Application Deployment, Data Structures, User Accounts, Personalized Service, User Interface (UI) Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      666 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • University of California San Diego

      Genome Assembly Programming Challenge

      Skills you'll gain: Bioinformatics, Graph Theory, Epidemiology, Infectious Diseases, Network Analysis, Program Development, Molecular Biology, Computational Thinking, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      346 reviews

      Advanced · Course · 1 - 4 Weeks

    • University of Michigan

      Exploring C

      Skills you'll gain: C (Programming Language), Python Programming, Programming Principles, System Programming, Computer Programming, Unix, Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 3 Months

    • Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    Searches related to r programming

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    1…697071…290

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

    • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego
    • TDD – Desenvolvimento de Software Guiado por Testes: Instituto Tecnológico de Aeronáutica
    • APIs: Meta
    • Principles of Computing (Part 1): Rice University
    • Getting Started with SAS Visual Analytics : SAS
    • C# for .NET Developers: Board Infinity
    • Modeling Data in the Tidyverse: Johns Hopkins University
    • Patent Law: University of Pennsylvania
    • Build a mobile app with Google Sheets on Glide and no coding: Coursera Project Network
    • Genome Assembly Programming Challenge: University of California San Diego

    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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