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Developing Data Products

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Developing Data Products

This course is part of multiple programs.

Instructors: Brian Caffo, PhD

87,295 already enrolled

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

2,264 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

95%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

2,264 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

95%

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

91% of learners achieved a positive career outcome

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When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in 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 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.

Module details

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

24 videosTotal 124 minutes

Shiny 1.17 minutes
Shiny 1.26 minutes
Shiny 1.34 minutes
Shiny 1.47 minutes
Shiny 1.59 minutes
Shiny 2.14 minutes
Shiny 2.210 minutes
Shiny 2.33 minutes
Shiny 2.45 minutes
Shiny 2.54 minutes
Shiny 2.67 minutes
Shiny Gadgets 1.16 minutes
Shiny Gadgets 1.24 minutes
Shiny Gadgets 1.37 minutes
GoogleVis 1.16 minutes
GoogleVis 1.28 minutes
Plotly 1.14 minutes
Plotly 1.22 minutes
Plotly 1.36 minutes
Plotly 1.45 minutes
Plotly 1.54 minutes
Plotly 1.64 minutes
Plotly 1.71 minute
Plotly 1.82 minutes

2 readingsTotal 20 minutes

Shiny10 minutes
Shinyapps.io Project10 minutes

1 assignmentTotal 10 minutes

Quiz 110 minutes

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

12 videosTotal 45 minutes

R Markdown 1.15 minutes
R Markdown 1.23 minutes
R Markdown 1.33 minutes
R Markdown 1.41 minute
R Markdown 1.54 minutes
R Markdown 1.67 minutes
Leaflet 1.14 minutes
Leaflet 1.26 minutes
Leaflet 1.32 minutes
Leaflet 1.43 minutes
Leaflet 1.52 minutes
Leaflet 1.66 minutes

1 readingTotal 10 minutes

Three Ways to Share R Markdown Products10 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

1 peer reviewTotal 60 minutes

R Markdown and Leaflet60 minutes

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(73 ratings)

Brian Caffo, PhD

Johns Hopkins University

30 Courses1,715,719 learners

Jeff Leek, PhD

Johns Hopkins University

32 Courses1,758,439 learners

Offered by

Johns Hopkins University

Learner reviews

5 stars
68.41%
4 stars
23.10%
3 stars
6.44%
2 stars
1.50%
1 star
0.53%

Showing 3 of 2264

Reviewed on Jul 31, 2019

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.

Reviewed on Aug 31, 2017

Brian Caffo is the best! No one could explain better than him. Congratulations for this excellent course, you are my inspiration to become a better data scientist.

Reviewed on Nov 18, 2018

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

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