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.

100% online course

Start instantly and learn at your own schedule.

Approx. 9 hours to complete

Suggested: 3 hours/week

English

Subtitles: English

What you will learn

Build an R Markdown presentation that includes a data visualization

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

Develop basic applications and interactive graphics using GoogleVis

Use Leaflet to create interactive annotated maps

Skills you will gain

R ProgrammingData AnalysisWeb ApplicationData Visualization

100% online course

Start instantly and learn at your own schedule.

Approx. 9 hours to complete

Suggested: 3 hours/week

English

Subtitles: English

Syllabus - What you will learn from this course

1

Section

1 hour to complete

Course Overview

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

1 video (Total 1 min), 5 readings

1 videos

Welcome to Developing Data Products1m

5 readings

Syllabus10m

Welcome10m

Book: Developing Data Products in R10m

Community Site10m

R and RStudio Links & Tutorials10m

3 hours to complete

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....

24 videos (Total 124 min), 2 readings, 1 quiz

24 videos

Shiny 1.16m

Shiny 1.26m

Shiny 1.34m

Shiny 1.46m

Shiny 1.59m

Shiny 2.13m

Shiny 2.29m

Shiny 2.32m

Shiny 2.44m

Shiny 2.53m

Shiny 2.66m

Shiny Gadgets 1.15m

Shiny Gadgets 1.24m

Shiny Gadgets 1.37m

GoogleVis 1.16m

GoogleVis 1.28m

Plotly 1.14m

Plotly 1.22m

Plotly 1.36m

Plotly 1.45m

Plotly 1.53m

Plotly 1.64m

Plotly 1.70m

Plotly 1.81m

2 readings

Shiny10m

Shinyapps.io Project10m

1 practice exercises

Quiz 110m

2

Section

3 hours to complete

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....

12 videos (Total 45 min), 1 reading, 2 quizzes

12 videos

R Markdown 1.14m

R Markdown 1.22m

R Markdown 1.33m

R Markdown 1.40m

R Markdown 1.53m

R Markdown 1.66m

Leaflet 1.13m

Leaflet 1.25m

Leaflet 1.32m

Leaflet 1.42m

Leaflet 1.52m

Leaflet 1.66m

1 readings

Three Ways to Share R Markdown Products10m

1 practice exercises

Quiz 212m

3

Section

3 hours to complete

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....

5 videos (Total 65 min), 1 reading, 2 quizzes

5 videos

R Packages (Part 1)7m

R Packages (Part 2)14m

Building R Packages Demo18m

R Classes and Methods (Part 1)13m

R Classes and Methods (Part 2)11m

1 readings

R Packages10m

1 practice exercises

Quiz 38m

4

Section

2 hours to complete

Swirl and Course Project

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

3 videos (Total 16 min), 1 reading, 1 quiz

3 videos

Swirl 1.12m

Swirl 1.27m

Swirl 1.36m

1 readings

Post-Course Survey10m

Instructors

Brian Caffo, PhD

Professor, Biostatistics

Jeff Leek, PhD

Associate Professor, Biostatistics

Roger D. Peng, PhD

Associate Professor, Biostatistics

About 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....

Frequently Asked Questions

When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
What is the refund policy?
Is financial aid available?
Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.

More questions? Visit the Learner Help Center

специализация Data Science