Developing Data Products (Coursera)

Developing Data Products (Coursera)
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Developing Data Products (Coursera)
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 covers the basics of creating data products using Shiny, R packages, and interactive graphics.

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The course 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.

This course is part of multiple programs

This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

- Data Science Specialization

- Data Science: Statistics and Machine Learning Specialization


WHAT YOU WILL LEARN

- Develop basic applications and interactive graphics using GoogleVis

- Use Leaflet to create interactive annotated maps

- Build an R Markdown presentation that includes a data visualization

- Create a data product that tells a story to a mass audience


Syllabus


WEEK 1

Course Overview

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

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.


WEEK 2

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.


WEEK 3

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.


WEEK 4

Swirl and Course Project

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



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