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.

Filter by

Skip to search results

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.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Hands-on Learning
Required

Tools
Required

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, Data Storytelling, Data Science, Data Analysis

    4.8 stars, 459 reviews, Beginner, Specialization, 3 - 6 Months

  • 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

  • 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, Data Analysis, Rmarkdown, Model Evaluation, Shiny (R Package), SQL, R (Software), Data Manipulation, Web Scraping

    4.5 stars, 1.3K reviews, Beginner, Specialization, 3 - 6 Months

  • 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 stars, 51K 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 stars, 8 reviews, Beginner, Specialization, 3 - 6 Months

  • 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

  • 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, Regression Analysis, Tidyverse (R Package), Data Transformation, Data Science, Dashboard, Statistical Analysis, Dashboard Creation

    4.6 stars, 116 reviews, Intermediate, Course, 1 - 3 Months

  • Packt

    Skills you'll gain: Shiny (R Package), User Interface (UI), User Interface (UI) Design, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, UI Components, Application Deployment, Web Applications, Data Analysis, Front-End Web Development, Back-End Web Development, Spatial Data Analysis, Web Development, Full-Stack Web Development, Server Side, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 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 stars, 275 reviews, Beginner, Course, 1 - 4 Weeks

  • Johns Hopkins University

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

    4.9 stars, 72 reviews, Mixed, Course, 1 - 4 Weeks

  • Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4 stars, 7.2K reviews, Intermediate, Specialization, 3 - 6 Months