Essential Skills in Developing Data Products


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This course, Skills in Developing Data Products will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience.

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About this Course

A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data-informed model, algorithm, or inference. This course, Skills in Developing Data Products covers the basics of creating data products using Shiny, R packages, and interactive graphics.

What You Will Learn

  • Develop basic applications and interactive graphics using GoogleVis
  • Use Leaflet to create interactive annotated maps in Skills in Developing Data Products
  • Build an R Markdown presentation that includes a data visualization
  • Create a data product that tells a story to a mass audience

Skills You Will Gain

  • Interactivity
  • Plotly in Skills in Developing Data Products
  • Web Application
  • R Programming

Syllabus

WEEK 1
1 hour to complete

Course Overview
In this overview module, we’ll go over some information and resources to help you get started and succeed in the course.

1 video (Total 1 min), 6 readings
3 hours to complete
Skills in Developing Data Products: Shiny, GoogleVis, and Plotly
Now we can turn to the first substantive lessons. In this module, you’ll learn how to develop basic applications and interactive graphics in shiny, compose interactive HTML graphics with GoogleVis, and prepare data visualizations with Plotly.

24 videos (Total 124 min), 2 readings, 1 quiz

WEEK 2
2 hours to complete

R Markdown and Leaflet
During this module, we’ll learn how to create R Markdown files and embed R code in an Rmd. We’ll also explore Leaflet and use it to create interactive annotated maps.

12 videos (Total 45 min), 1 reading, 2 quizzes

WEEK 3
3 hours to complete

Skills in Developing Data Products: R Packages
In this module, we’ll dive into the world of creating R packages and practice developing an R Markdown presentation that includes a data visualization built using Plotly.

5 videos (Total 65 min), 1 reading, 2 quizzes

WEEK 4
1 hour to complete

Swirl and Course Project
Week 4 is all about the Course Project, producing a Shiny Application and reproducible pitch.

3 videos (Total 16 min), 1 reading, 1 quiz

Free Course on Skills in Developing Data Products


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Mass Communication Student, Federal University, Oye Ekiti and Content Creation Specialist. Join me on Twitter.

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