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

Most popular

Trending now

New releases

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

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 (Software), R Programming, Data Mapping, Statistical Reporting, Web Applications, Package and Software Management

  • Status: New
    Status: Free Trial

    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)

  • Status: Free

    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

  • Status: Preview

    Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Manipulation, Statistical Programming, Data Transformation, Data Science, Data Integration

  • Status: Free Trial

    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

What brings you to Coursera today?

Leading partners

  • Johns Hopkins University
  • IBM
  • Packt
  • Microsoft
  • Genentech