Developing Data Products

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Course Features

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Duration

10 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

10 hours

Course Description

Data products are the output of a statistical analysis. Data products are used to automate complicated analysis tasks, or use technology for greater utility of data informed models, algorithms or inferences. This course will cover the basics of creating data products with Shiny, R packages and interactive graphics. This course will cover the statistical basics of creating data products that can be used to tell stories about data to a large audience.

Course Overview

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

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

Course Instructors

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Brian Caffo, PhD

Bloomberg School of Public Health

Brian Caffo, PhD is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He graduated from the Department of Statistics at the Unive...
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Jeff Leek, PhD

Bloomberg School of Public Health

Jeff Leek is an Assistant Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in Biostat...
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Roger D. Peng, PhD

Bloomberg School of Public Health

Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and a Co-Editor of the Simply Statistics blog. He received his Ph.D. in Statistics from the Univ...

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