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
- 閱讀: Syllabus
- 閱讀: Welcome
- 閱讀: Book: Developing Data Products in R
- 閱讀: Community Site
- 閱讀: 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
- 閱讀: Shiny
- 閱讀: 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
- 閱讀: 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
- 閱讀: 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
- 閱讀: Post-Course Survey
Graded: Course Project: Shiny Application and Reproducible Pitch
FAQs
How It Works
課程作業
每門課程都像是一本互動的教科書，具有預先錄製的視頻、測驗和項目。
來自同學的幫助
與其他成千上萬的學生相聯繫，對想法進行辯論，討論課程材料，並尋求幫助來掌握概念。
證書
獲得正式認證的作業，並與朋友、同事和雇主分享您的成功。
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
| 旁聽 | 購買課程 | |
|---|---|---|
| 訪問課程材料 | Available | Available |
| 訪問評分的材料 | Not available | Available |
| 收到最終成績 | Not available | Available |
| 獲得可共享的課程證書 | Not available | Available |
Ratings and Reviews
A good course!
Excellent content, the assignments were helpful and fun.
Too Good!
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This course taught me very exciting things and I am looking forward to making shiny apps for my portfolio. It may have been way too easy and quick to finish, though. I barely needed a week. A bigger assignment with leaflet would have been nice.