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. 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.
von
Über diesen Kurs
Was Sie lernen werden
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
Kompetenzen, die Sie erwerben
- Interactivity
- Plotly
- Web Application
- R Programming
von

Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Lehrplan - Was Sie in diesem Kurs lernen werden
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.
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.
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.
Swirl and Course Project
Week 4 is all about the Course Project, producing a Shiny Application and reproducible pitch.
Bewertungen
- 5 stars68,21 %
- 4 stars23,32 %
- 3 stars6,49 %
- 2 stars1,52 %
- 1 star0,44 %
Top-Bewertungen von DEVELOPING DATA PRODUCTS
It is a good course provide neccessary stuffs for data science. You can skip week 4 as it is done previously in other courses . Small and good course.
This course was amazing, it could definetly be more deep in each of the subjects, but gives you so much practice in tools that are very useful in the day by day of a data scientist
This is a great introduction to some of the many ways to present your data. It's probably the easiest course in the specialisation but shows off an impressive array of widgets and gadgets.
I appreciated the wholistic approach of presenting the information via GIT, R shiney server and making the slides.... all very useful going forward.
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