Building Interactive Financial Apps with R Shiny
Learn to design, code, and deploy interactive financial dashboards and investment analysis tools using R Shiny and modern web layout principles.
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AI instructor
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Start anytime
No schedules or deadlines โ learn at your own pace, whenever suits you. -
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In English
Lessons, tasks and certificate โ all fully in your language.
About this course
In the fast-paced world of finance, static spreadsheets and static reports are no longer enough to communicate complex investment strategies. Building interactive web applications allows you to present data-driven financial insights in a dynamic, user-friendly way.
This text-based course guides you through the process of creating a fully functional investment application from scratch using R and the Shiny framework. You will start with the fundamental concepts of reactive programming, progress to designing clean user interfaces with modern packages, and finish by deploying your application for others to read and use.
What you'll learn:
- Understand the core architecture of R Shiny, including the relationship between the user interface (UI) and server logic
- Master reactive programming principles to ensure your financial calculations update instantly based on user input
- Design modern, responsive layouts using contemporary UI packages like bslib to make your investment app look professional
- Build interactive financial charts and data tables to visualize portfolio performance and historical trends
- Implement input controls for user parameters such as asset allocation, risk tolerance, and investment timelines
- Deploy your completed Shiny application to the web securely so stakeholders can access your interactive dashboard
You will begin by learning fundamental R Shiny concepts and basic reactive inputs before moving step-by-step through the development of a real-world investment analysis tool.
This course is designed for finance professionals, data analysts, and aspiring R developers who want to transition from static reports to interactive web applications. No prior experience with Shiny or web development is required, though a basic familiarity with R programming is helpful.
Start reading today to transform your financial analysis into interactive data tools.
What you'll get
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Certificate of completion
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Personal AI tutor
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Lifetime access
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Phone or computer
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14-day refund
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Short & focused
2h 36m of practical content
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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