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    • R Programming

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    342 results for "r programming"

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      University of Washington

      Social Media Data Analytics

      Skills you'll gain: General Statistics, Python Programming, Probability & Statistics, Statistical Programming, Data Analysis, Regression, Statistical Analysis, Computer Programming, Correlation And Dependence, Data Management, Data Structures, Probability Distribution, Basic Descriptive Statistics, Communication, Marketing, Mathematics, Social Media

      4.1

      (280 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Maryland, College Park

      Survey Data Collection and Analytics

      Skills you'll gain: Research and Design, Survey Creation, Probability & Statistics, General Statistics, Entrepreneurship, Data Analysis, Market Research, Big Data, Data Management, Extract, Transform, Load, Change Management, Communication, Computer Programming, Journalism, Leadership and Management, Programming Principles, Strategy and Operations

      4.3

      (1.3k reviews)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Quantitative Text Analysis and Measures of Readability in R

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Introduction to Distributions in R

      Beginner · Guided Project · Less Than 2 Hours

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      University of Illinois at Urbana-Champaign

      Introduction to Accounting Data Analytics and Visualization

      Skills you'll gain: Data Analysis, Data Visualization, Accounting, General Statistics, Probability & Statistics, Regression, Statistical Analysis, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Critical Thinking, Data Management, Data Structures, Data Visualization Software, Management Accounting, Microsoft Excel, Plot (Graphics), Spreadsheet Software, Statistical Visualization, Taxes, Visualization (Computer Graphics), Audit, Data Analysis Software, Data Architecture, Financial Accounting, Financial Analysis, Machine Learning, Research and Design, Strategy and Operations, Tableau Software, Theoretical Computer Science

      4.8

      (408 reviews)

      Beginner · Course · 1-3 Months

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      University of Illinois at Urbana-Champaign

      Accounting Data Analytics with Python

      Skills you'll gain: Python Programming, Statistical Programming, Computer Programming, Data Structures, Data Visualization, Databases, Plot (Graphics), Probability & Statistics, Regression, SQL, Theoretical Computer Science, Database Administration, Statistical Visualization, Accounting, Business Analysis, Data Analysis, Data Management, Entrepreneurial Finance, Entrepreneurship, Financial Analysis, Microsoft Excel, Operating Systems, Systems Design

      4.3

      (75 reviews)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Machine Learning: Predict Numbers from Handwritten Digits using a Neural Network, Keras, and R

      Skills you'll gain: Computer Programming, Machine Learning, Statistical Programming

      4.4

      (71 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Introduction to Sentiment Analysis in R with quanteda

      Skills you'll gain: Statistical Programming

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Panel Data Analysis with R

      Skills you'll gain: Econometrics, General Statistics, Probability & Statistics, Statistical Programming

      4.7

      (14 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      SAS

      CASL Programming for Distributed Computing in SAS® Viya®

      Skills you'll gain: Data Analysis

      Advanced · Course · 1-3 Months

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      SAS

      Using SAS Viya REST APIs with Python and R

      Skills you'll gain: Statistical Programming, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Artificial Neural Networks, Communication, Computer Vision, Deep Learning, Natural Language Processing

      4.6

      (14 reviews)

      Mixed · Course · 1-3 Months

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      SAP

      SAP Technology Consultant

      Skills you'll gain: Cloud Computing, Software As A Service, Leadership and Management, Entrepreneurship, Strategy and Operations, Business Analysis, Software Engineering, Business Process Management, Business Psychology, Business Transformation, Organizational Development, Project Management, Software Architecture, Theoretical Computer Science, Cloud Applications, Cloud-Based Integration, Customer Analysis, Databases, Design and Product, Agile Software Development, Application Development, Applied Machine Learning, Cloud Platforms, Communication, Computer Programming, Computer Programming Tools, Database Design, Machine Learning, Planning, Problem Solving, Process Analysis, Product Design, Product Development, Research and Design, Supply Chain and Logistics, Finance, Operations Management, Sales

      4.8

      (122 reviews)

      Beginner · Professional Certificate · 3-6 Months

    Searches related to r programming

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

    • Social Media Data Analytics: University of Washington
    • Survey Data Collection and Analytics: University of Maryland, College Park
    • Quantitative Text Analysis and Measures of Readability in R: Coursera Project Network
    • Introduction to Distributions in R: Coursera Project Network
    • Introduction to Accounting Data Analytics and Visualization: University of Illinois at Urbana-Champaign
    • Accounting Data Analytics with Python: University of Illinois at Urbana-Champaign
    • Machine Learning: Predict Numbers from Handwritten Digits using a Neural Network, Keras, and R: Coursera Project Network
    • Introduction to Sentiment Analysis in R with quanteda: Coursera Project Network
    • Panel Data Analysis with R: Coursera Project Network
    • CASL Programming for Distributed Computing in SAS® Viya®: SAS

    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.‎

    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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