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Developing Data Products

An engaging course that teaches how to turn raw analysis into interactive, usable data products.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you in the Developing Data Products Course

  • Learn how to build and deploy interactive data products.

  • Develop web-based applications using Shiny in R.

  • Create interactive visualizations with GoogleVis, Plotly, and Leaflet.

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  • Use R Markdown to generate dynamic reports.

  • Design and publish custom R packages.

Program Overview

1. Course Overview
Duration: ~1 hour

  • Introduction to data products and course objectives.

  • Overview of tools and software to be used.

2. Interactive Visualizations with Shiny and Plotly
Duration: ~2 hours

  • Build user interfaces and server logic using Shiny.

  • Create dynamic, interactive graphics with Plotly and GoogleVis.

3. Enhancing Data Products with R Markdown and Leaflet
Duration: ~2 hours

  • Generate interactive reports using R Markdown.

  • Build maps and location-based visualizations using Leaflet.

4. Building and Documenting R Packages
Duration: ~2 hours

  • Learn the structure of an R package.

  • Create and document your own package for public or private use.

5. Final Course Project
Duration: ~2 hours

  • Design and submit an original data product.

  • Review and evaluate peer submissions.

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Job Outlook

  • Data Scientists: Showcase results through interactive dashboards and tools.

  • Data Analysts: Build engaging, presentation-ready products for stakeholders.

  • R Developers: Learn how to package and share tools and apps efficiently.

  • Business Professionals: Improve storytelling and decision-making with dynamic data tools.

  • Researchers: Present academic findings in an interactive format.

9.7Expert Score
Highly Recommended
This course is perfect for learners looking to bridge the gap between data analysis and end-user engagement by building real-world, interactive tools.
Value
9.3
Price
9.5
Skills
9.7
Information
9.6
PROS
  • Hands-on Shiny and visualization experience
  • Real-world applications with final capstone
  • Clear explanations and structured workflow
  • Boosts portfolio with a tangible data product
CONS
  • Requires prior knowledge of R
  • Some tools may have a learning curve for beginners

Specification: Developing Data Products

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Course | Career Focused Learning Platform
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