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    Results for "shiny (package (r))"

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with R

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      R 프로그래밍

      Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Data Analysis Software, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Data Manipulation, Program Development, Data Import/Export, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      데이터 과학자의 도구 상자

      Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Data Quality, Data Management, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • P

      Packt

      Python Interactive Dashboards with Plotly Dash

      Skills you'll gain: Plotly, Dashboard, Data Analysis, Interactive Data Visualization, Jupyter, HTML and CSS, UI Components, Data Visualization Software, Real Time Data, Pandas (Python Package), Python Programming

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced R Programming

      Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Integrated Development Environments, Programming Principles, Data Manipulation, Data Structures, Software Documentation, Software Design Patterns, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      574 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      Duke University

      R을 사용한 확률 및 데이터 소개

      Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Statistical Inference, R (Software), Probability Distribution, R Programming, Bayesian Statistics, Probability, Data Analysis, Statistical Analysis, Descriptive Statistics

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Financial Risk Management with R

      Skills you'll gain: Risk Modeling, Financial Market, Risk Management, Market Data, Risk Analysis, Financial Trading, Probability Distribution, R (Software), Financial Data, R Programming, Financial Modeling, Portfolio Management, Statistical Programming, Securities (Finance), Time Series Analysis and Forecasting, Securities Trading, Estimation, Statistical Modeling

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      251 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Building R Packages

      Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation

      4.1
      Rating, 4.1 out of 5 stars
      ·
      223 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Fundamentals of Data Analytics in the Public Sector with R

      Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Policy Analysis, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The R Programming Environment

      Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Statistical Programming, Text Mining, Application Programming Interface (API)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    1…456…91

    In summary, here are 10 of our most popular shiny (package (r)) courses

    • Statistics and Data Analysis with R: University of Colorado Boulder
    • R 프로그래밍: Johns Hopkins University
    • 데이터 과학자의 도구 상자: Johns Hopkins University
    • Python Interactive Dashboards with Plotly Dash: Packt
    • Introduction to Probability and Data with R: Duke University
    • Advanced R Programming: Johns Hopkins University
    • R을 사용한 확률 및 데이터 소개: Duke University
    • Financial Risk Management with R: Duke University
    • Building R Packages: Johns Hopkins University
    • Fundamentals of Data Analytics in the Public Sector with R: University of Michigan

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