Shiny (R Package)

Shiny is a powerful R package that enables the creation of interactive web applications straight from R, transforming static data analysis into interactive web applications. Coursera's Shiny catalogue teaches you how to use this package to bring your data analysis results to life. You'll learn how to build and customize Shiny apps, integrate Shiny with R packages such as ggplot2 for data visualization, and how to handle reactivity for real-time updates within your applications. This course will also equip you with the knowledge of deploying your Shiny apps so that they can be shared with a broader audience. Harness the power of R and Shiny to create engaging, interactive data visualizations and applications.

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Results for "Shiny (R Package)"

  • Johns Hopkins University

    Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Dashboard Creation, Scatter Plots, Plot (Graphics), Dashboard, R (Software), Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Spatial Analysis, Geospatial Information and Technology, Data Science, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    456 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New

    EDUCBA

    Skills you'll gain: Shiny (R Package), Interactive Data Visualization, Dashboard Creation, R (Software), Dashboard, User Interface (UI), UI Components, Data Integration, Server Side, Interactive Design, User Interface (UI) Design, Web Applications, Software Architecture, Event-Driven Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: New

    EDUCBA

    Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Data Visualization, Cloud Applications, Application Deployment, UI Components, Server Side, Dashboard Creation, Performance Tuning, R (Software), Dashboard, Secure Coding, User Interface (UI), Application Lifecycle Management, Web Applications, Authentications, Application Development, R Programming, Data Management

    Beginner · Specialization · 1 - 3 Months

  • IBM

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Database Design, Data Presentation, Ggplot2, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Data Collection, Predictive Modeling, Statistical Analysis, Rmarkdown, Data Analysis, Model Evaluation, Shiny (R Package), SQL, R (Software), Data Manipulation, Web Scraping

    4.5
    Rating, 4.5 out of 5 stars
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Packt

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    8 reviews

    Beginner · Specialization · 3 - 6 Months

  • IBM

    Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Plot (Graphics), Dashboard Creation, Dashboard, Leaflet (Software), Interactive Data Visualization, Data Presentation, R (Software), R Programming, Scatter Plots, Graphing, Box Plots, Geospatial Information and Technology, Data Science, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    274 reviews

    Beginner · Course · 1 - 4 Weeks

  • Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • IBM

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Presentation, Data Visualization, Data Collection, Predictive Modeling, Interactive Data Visualization, Web Scraping, Shiny (R Package), Ggplot2, Data Analysis, Data Cleansing, Predictive Analytics, Tidyverse (R Package), Regression Analysis, Data Transformation, Data Science, Dashboard, Statistical Analysis, Dashboard Creation

    4.6
    Rating, 4.6 out of 5 stars
    114 reviews

    Intermediate · Course · 1 - 3 Months

  • Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Presentation, Data Visualization Software, R (Software), R Programming, Statistical Reporting, Application Development, Software Documentation, Web Applications, Hypertext Markup Language (HTML), Package and Software Management

    4.6
    Rating, 4.6 out of 5 stars
    2.3K reviews

    Mixed · Course · 1 - 3 Months

  • Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Dashboard Creation, Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Application Development, Data Sharing, UI Components, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
    72 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New

    EDUCBA

    Skills you'll gain: Shiny (R Package), Application Deployment, UI Components, Server Side, Secure Coding, User Interface (UI), Application Lifecycle Management, Authentications, Interactive Data Visualization, User Interface (UI) Design, Software Development Life Cycle, Back-End Web Development, Interactive Design, Authorization (Computing), Application Development, Security Controls, Web Applications, R (Software), Development Environment

    Beginner · Course · 1 - 4 Weeks

  • Status: New

    EDUCBA

    Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Data Visualization, Cloud Applications, Performance Tuning, Dashboard Creation, R (Software), Web Applications, Application Development, Frontend Performance, R Programming, Event-Driven Programming, Dashboard, Exploratory Data Analysis, Driving engagement, UI Components, User Interface (UI) Design, Data Analysis, File I/O

    Mixed · Course · 1 - 4 Weeks