Course Description

Embark on an exciting journey into the world of data-driven web applications with our comprehensive course on R Shiny! This hands-on, four-week program is designed to equip you with the skills and knowledge needed to create interactive, visually appealing, and functional web applications using R Shiny. By the end of this course, you'll have developed a stunning interactive web application showcasing the biodiversity of America's National Parks, complete with an interactive map, biodiversity calculator, trail journal, and species images.

What You'll Learn

• Create data-driven applications to publish analytical findings
• Visualize interactive bar charts, scatterplots, maps, and images
• Engage users through drop-down menus and search inputs
• Communicate with data sources using the Google Sheets API
• Customize and style applications using Cascading Style Sheets (CSS)
• Develop a foundation for making and deploying Shiny applications
• Learn about user interaction (UI) controls and persistent data storage
• Publish applications through shinyapps.io

Prerequisites

• Prior experience with R and RStudio is beneficial but not mandatory
• Access to a computer capable of running R/RStudio
• A free shinyapps.io account for web deployment

Course Content

• Introduction to R Shiny and its capabilities
• Setting up the R Studio IDE for Shiny development
• Basic and advanced UI components
• Client-side vs. server-side components
• Creating interactive maps using Leaflet
• Implementing buttons, modal viewers, and observe events
• Working with data in Shiny applications
• Understanding reactive programming and browser functions
• Customizing applications with CSS
• Deploying applications to the web
• Creating filters for interactivity
• Developing maps and journals within applications

Who This Course Is For

• Beginner-level data professionals
• Students and researchers
• Academic marketing analysts
• Business and data analysts
• Financial analysts
• Anyone interested in expanding their data analysis and visualization skills

Real-World Applications

• Creating interactive dashboards for business intelligence
• Developing data visualization tools for research presentations
• Building custom analytics platforms for marketing campaigns
• Designing user-friendly interfaces for financial data analysis
• Crafting engaging educational tools for data science concepts
• Enhancing portfolio pieces to showcase to potential employers
• Streamlining data-driven decision-making processes in various industries

Syllabus