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Johns Hopkins University

Developing Data Products

This course is part of multiple programs.

Brian Caffo, PhD
Jeff Leek, PhD
Roger D. Peng, PhD

Instructors: Brian Caffo, PhD

85,603 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.6

(2,255 reviews)

10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
94%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(2,255 reviews)

10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
94%
Most learners liked this course

What you'll 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

Details to know

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Assessments

3 assignments

Taught in English

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When you enroll in this course, you'll also be asked to select a specific program.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 5 modules in this course

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

What's included

1 video6 readings

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.

What's included

24 videos2 readings1 assignment

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.

What's included

12 videos1 reading1 assignment1 peer review

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.

What's included

5 videos1 reading1 assignment1 peer review

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

What's included

3 videos1 reading1 peer review

Instructors

Instructor ratings
4.6 (69 ratings)
Brian Caffo, PhD
Johns Hopkins University
30 Courses1,635,771 learners
Jeff Leek, PhD
Johns Hopkins University
32 Courses1,664,632 learners

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Recommended if you're interested in Data Analysis

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Learner reviews

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4.6

2,255 reviews

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JT
4

Reviewed on Mar 27, 2016

JC
4

Reviewed on Nov 20, 2018

RS
5

Reviewed on Nov 18, 2018

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