Developing Data Products

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Developing Data Products

Coursera (CC)
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Description

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

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

    Bloo…

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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

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 4.5 stars Average User Rating 4.5See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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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.

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 expand


  1. Video: Welcome to Developing Data Products
  2. Reading: Syllabus
  3. Reading: Welcome
  4. Reading: Book: Developing Data Products in R
  5. Reading: Community Site
  6. 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 expand


  1. Reading: Shiny
  2. Reading: Shinyapps.io Project
  3. Video: Shiny 1.1
  4. Video: Shiny 1.2
  5. Video: Shiny 1.3
  6. Video: Shiny 1.4
  7. Video: Shiny 1.5
  8. Video: Shiny 2.1
  9. Video: Shiny 2.2
  10. Video: Shiny 2.3
  11. Video: Shiny 2.4
  12. Video: Shiny 2.5
  13. Video: Shiny 2.6
  14. Video: Shiny Gadgets 1.1
  15. Video: Shiny Gadgets 1.2
  16. Video: Shiny Gadgets 1.3
  17. Video: GoogleVis 1.1
  18. Video: GoogleVis 1.2
  19. Video: Plotly 1.1
  20. Video: Plotly 1.2
  21. Video: Plotly 1.3
  22. Video: Plotly 1.4
  23. Video: Plotly 1.5
  24. Video: Plotly 1.6
  25. Video: Plotly 1.7
  26. 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 expand


  1. Video: R Markdown 1.1
  2. Video: R Markdown 1.2
  3. Video: R Markdown 1.3
  4. Video: R Markdown 1.4
  5. Video: R Markdown 1.5
  6. Video: R Markdown 1.6
  7. Reading: Three Ways to Share R Markdown Products
  8. Video: Leaflet 1.1
  9. Video: Leaflet 1.2
  10. Video: Leaflet 1.3
  11. Video: Leaflet 1.4
  12. Video: Leaflet 1.5
  13. 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 expand


  1. Reading: R Packages
  2. Video: R Packages (Part 1)
  3. Video: R Packages (Part 2)
  4. Video: Building R Packages Demo
  5. Video: R Classes and Methods (Part 1)
  6. 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 expand


  1. Video: Swirl 1.1
  2. Video: Swirl 1.2
  3. Video: Swirl 1.3
  4. Reading: Post-Course Survey

Graded: Course Project: Shiny Application and Reproducible Pitch
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