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.
7credentials
9courses

Results for "shiny (r package)"

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Data Mapping, Data Science, Statistical Reporting, Web Applications, Package and Software Management

    4.6
    Rating, 4.6 out of 5 stars
    2.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free

    Coursera

    Skills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Data Import/Export

    Intermediate · Guided Project · Less Than 2 Hours

  • Packt

    Skills you'll gain: Shiny (R Package), FinTech, Financial Market, Financial Planning, Financial Forecasting, Statistical Programming, Asset Management, Financial Analysis, Artificial Intelligence, Web Applications, Portfolio Management, Predictive Modeling, Time Series Analysis and Forecasting, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Packt

    Skills you'll gain: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing

    Advanced · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Microsoft

    Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Shiny (R Package), Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Ggplot2, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Tidyverse (R Package), Data Analysis, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months