About 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.
Created by: Johns Hopkins University
Taught by: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
| Basic Info | Course 9 of 10 in the Data Science Specialization |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
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, 5 readings
- Video: Welcome to Developing Data Products
- Reading: Syllabus
- Reading: Welcome
- Reading: Book: Developing Data Products in R
- Reading: Community Site
- Reading: R and RStudio Links & Tutorials
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, 2 readings
- Reading: Shiny
- Reading: Shinyapps.io Project
- Video: Shiny 1.1
- Video: Shiny 1.2
- Video: Shiny 1.3
- Video: Shiny 1.4
- Video: Shiny 1.5
- Video: Shiny 2.1
- Video: Shiny 2.2
- Video: Shiny 2.3
- Video: Shiny 2.4
- Video: Shiny 2.5
- Video: Shiny 2.6
- Video: Shiny Gadgets 1.1
- Video: Shiny Gadgets 1.2
- Video: Shiny Gadgets 1.3
- Video: GoogleVis 1.1
- Video: GoogleVis 1.2
- Video: Plotly 1.1
- Video: Plotly 1.2
- Video: Plotly 1.3
- Video: Plotly 1.4
- Video: Plotly 1.5
- Video: Plotly 1.6
- Video: Plotly 1.7
- Video: Plotly 1.8
Graded: Quiz 1
WEEK 2
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, 1 reading
- Video: R Markdown 1.1
- Video: R Markdown 1.2
- Video: R Markdown 1.3
- Video: R Markdown 1.4
- Video: R Markdown 1.5
- Video: R Markdown 1.6
- Reading: Three Ways to Share R Markdown Products
- Video: Leaflet 1.1
- Video: Leaflet 1.2
- Video: Leaflet 1.3
- Video: Leaflet 1.4
- Video: Leaflet 1.5
- Video: Leaflet 1.6
Graded: Quiz 2
Graded: R Markdown and Leaflet
WEEK 3
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, 1 reading
- Reading: R Packages
- Video: R Packages (Part 1)
- Video: R Packages (Part 2)
- Video: Building R Packages Demo
- Video: R Classes and Methods (Part 1)
- Video: R Classes and Methods (Part 2)
Graded: Quiz 3
Graded: R Markdown Presentation & Plotly
WEEK 4
Swirl and Course Project
Week 4 is all about the Course Project, producing a Shiny Application and reproducible pitch.
3 videos, 1 reading
- Video: Swirl 1.1
- Video: Swirl 1.2
- Video: Swirl 1.3
- Reading: Post-Course Survey
Graded: Course Project: Shiny Application and Reproducible Pitch
FAQs
How It Works
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
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.
Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Ratings and Reviews
Great way to put your data analysis out on the web!
This is probably one of the most interesting course in the Specialization, and it's worth the many hours spend on it. Save the videos on your YouTube, and research the Shiny web tutorial as well as the R website tutorials and Plotly.
Great fun building the apps.
Very good for anyone wanting to get into the field of Data Science using R
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Too Good!