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    Results for "r programming"

    • Meta

      Desarrollador back-end de Meta

      Skills you'll gain: Full-Stack Web Development, Restful API, Django (Web Framework), Relational Databases, Version Control, SQL, Unix Commands, Git (Version Control System), GitHub, Database Design, Responsive Web Design, Database Management Systems, Front-End Web Development, Algorithms, MySQL, Bootstrap (Front-End Framework), Test Driven Development (TDD), Unit Testing, Pseudocode, Web Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      459 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Johns Hopkins University

      Bioconductor for Genomic Data Science

      Skills you'll gain: Bioinformatics, Data Analysis Software, R Programming, Statistical Programming, Programming Principles, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Package and Software Management

      3.8
      Rating, 3.8 out of 5 stars
      ·
      382 reviews

      Mixed · Course · 1 - 4 Weeks

    • UiPath

      Robotic Process Automation (RPA)

      Skills you'll gain: Robotic Process Automation, Web Scraping, User Interface (UI), Business Process Automation, Automation, Email Security, UI Components, Test Automation, Excel Macros, Scripting, IT Automation, Data Cleansing, Data Import/Export, Software Development Tools, Data Management, Integrated Development Environments, Data Integration, Application Deployment, Programming Principles, Spreadsheet Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      471 reviews

      Beginner · Specialization · 3 - 6 Months

    • Vanderbilt University

      Java for Android

      Skills you'll gain: Android Studio, Android Development, Object Oriented Programming (OOP), Java Programming, Java, Mobile Development, Data Structures, Integrated Development Environments, Computer Programming, Development Environment, Debugging, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • University of Illinois Urbana-Champaign

      Cloud Computing Concepts, Part 1

      Skills you'll gain: Distributed Computing, Data Store, NoSQL, Operating Systems, Apache Cassandra, Cloud Computing, Systems Design, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 2

      Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Theoretical Computer Science, Python Programming, Algorithms, Data Structures, Programming Principles, Computer Science, Computational Thinking, Maintainability, Software Design Patterns, Performance Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Random Forest Algorithm, SAS (Software), Statistical Modeling

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

      Beginner · Specialization · 3 - 6 Months

    • University of Pennsylvania

      AI Applications in Marketing and Finance

      Skills you'll gain: AI Personalization, Big Data, Credit Risk, Risk Management, Personalized Service, Digital Transformation, Business Risk Management, Customer Insights, Machine Learning, Marketing Analytics, Data Mining, Customer Engagement, Risk Analysis, Advanced Analytics, Data-Driven Decision-Making, Anomaly Detection, MarTech, Financial Data, Consumer Behaviour, Customer experience improvement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      394 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Computer Programming, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Application Development, Debugging, Problem Management, Functional Testing, Test Planning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      233 reviews

      Beginner · Course · 1 - 3 Months

    • University of California, Davis

      SQL Problem Solving

      Skills you'll gain: Data Cleansing, Feature Engineering, A/B Testing, Data Quality, SQL, Data Manipulation, Data Integrity, Time Series Analysis and Forecasting, Data Analysis, Predictive Analytics, Business Metrics

      3.3
      Rating, 3.3 out of 5 stars
      ·
      995 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Meta

      Introduction to Databases

      Skills you'll gain: Database Design, Database Management Systems, SQL, Relational Databases, Databases, MySQL, Data Integrity, Query Languages, Data Manipulation

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

      Beginner · Course · 1 - 3 Months

    • Michigan State University

      Game Design and Development with Unity

      Skills you'll gain: Unity Engine, Game Design, Video Game Development, Prototyping, 3D Modeling, Software Design Documents, Peer Review, Cross Platform Development, C# (Programming Language), User Interface (UI), Animation and Game Design, User Experience, Software Design, Storytelling, Software Documentation, User Experience Design, Conceptual Design, Augmented and Virtual Reality (AR/VR), Microsoft Visual Studio, Computer Graphics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      612 reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to r programming

    r programming for statistics and data science
    r programming and tidyverse capstone project
    r programming essentials with microsoft tools
    advanced r programming
    the r programming environment
    data analysis with r programming
    introduction to r programming and tidyverse
    introduction to r programming for data science
    1…434445…289

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

    • Desarrollador back-end de Meta: Meta
    • Bioconductor for Genomic Data Science: Johns Hopkins University
    • Robotic Process Automation (RPA): UiPath
    • Java for Android: Vanderbilt University
    • Cloud Computing Concepts, Part 1: University of Illinois Urbana-Champaign
    • Introdução à Ciência da Computação com Python Parte 2: Universidade de São Paulo
    • Data Analysis and Interpretation: Wesleyan University
    • AI Applications in Marketing and Finance: University of Pennsylvania
    • Problem Solving, Python Programming, and Video Games: University of Alberta
    • SQL Problem Solving: University of California, Davis

    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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