Dynamic Reports with R Shiny
Mastering Dynamic Reporting with R Shiny
Program overview
Dynamic Reports with R Shiny provides participants with the essential skills to create interactive and visually appealing reports using R Shiny, a powerful web application framework. This course emphasizes hands-on projects that allow learners to apply theoretical concepts in practical scenarios, enhancing their ability to communicate data insights effectively. Participants will engage with real-world datasets, learning how to build dynamic user interfaces and integrate various data visualization techniques to present complex information in an accessible manner.
The course structure is designed to foster an interactive learning environment where participants can collaborate on projects and share their findings. By the end of the program, learners will not only have developed a robust understanding of R Shiny but will also have the opportunity to publish their results in Cademix Magazine, showcasing their work to a broader audience. This unique aspect of the course encourages knowledge sharing and professional networking, further enriching the learning experience.
Syllabus:
Introduction to R Shiny and its applications in data reporting
Setting up the R environment and installing necessary packages
Building user interfaces with Shiny: layouts and UI components
Reactive programming concepts and data handling in Shiny
Creating interactive visualizations using ggplot2 and plotly
Integrating data sources: working with APIs and databases
Implementing user inputs and outputs for dynamic reports
Best practices for designing effective and user-friendly reports
Testing and debugging Shiny applications
Final project: Developing a comprehensive dynamic report using R Shiny
Learning goal
Equip participants with the skills to create dynamic reports using R Shiny, enabling them to effectively communicate data insights.
Target group
Graduates, job seekers, business professionals, and optionally researchers or consultants.
Prerequisites
Basic knowledge of R programming and familiarity with data analysis concepts.
Format and certification
Teaching method: Project-based, interactive.
Certificate: Certificate of Attendance or Certificate of Expert issued by Cademix Institute of Technology.
