Developing Data Products
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.
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- Level Foundation
- Duration 10 hours
- Course by Johns Hopkins University
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Offered by
About
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.Modules
Welcome
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1
Videos
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6
Readings
1
Videos
- Welcome to Developing Data Products
6
Readings
- A Note of Explanation
- Syllabus
- Welcome
- Book: Developing Data Products in R
- Community Site
- R and RStudio Links & Tutorials
Shiny Part 1
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5
Videos
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2
Readings
5
Videos
- Shiny 1.1
- Shiny 1.2
- Shiny 1.3
- Shiny 1.4
- Shiny 1.5
2
Readings
- Shiny
- Shinyapps.io Project
Shiny Part 2
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6
Videos
6
Videos
- Shiny 2.1
- Shiny 2.2
- Shiny 2.3
- Shiny 2.4
- Shiny 2.5
- Shiny 2.6
Shiny Gadgets
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3
Videos
3
Videos
- Shiny Gadgets 1.1
- Shiny Gadgets 1.2
- Shiny Gadgets 1.3
GoogleVis
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2
Videos
2
Videos
- GoogleVis 1.1
- GoogleVis 1.2
Plotly
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8
Videos
8
Videos
- Plotly 1.1
- Plotly 1.2
- Plotly 1.3
- Plotly 1.4
- Plotly 1.5
- Plotly 1.6
- Plotly 1.7
- Plotly 1.8
Quiz
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1
Assignment
1
Assignment
- Quiz 1
R Markdown
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6
Videos
6
Videos
- R Markdown 1.1
- R Markdown 1.2
- R Markdown 1.3
- R Markdown 1.4
- R Markdown 1.5
- R Markdown 1.6
Sharing R Markdown Documents
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1
Readings
1
Readings
- Three Ways to Share R Markdown Products
Leaflet
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6
Videos
6
Videos
- Leaflet 1.1
- Leaflet 1.2
- Leaflet 1.3
- Leaflet 1.4
- Leaflet 1.5
- Leaflet 1.6
Quiz
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1
Assignment
1
Assignment
- Quiz 2
Week 2 Assignment
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1
PeerReview
1
Peer Review
- R Markdown and Leaflet
R packages
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5
Videos
-
1
Readings
5
Videos
- R Packages (Part 1)
- R Packages (Part 2)
- Building R Packages Demo
- R Classes and Methods (Part 1)
- R Classes and Methods (Part 2)
1
Readings
- R Packages
Week 3 Quiz
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1
Assignment
1
Assignment
- Quiz 3
Week 3 Assignment
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1
PeerReview
1
Peer Review
- R Markdown Presentation & Plotly
Swirl Courses
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3
Videos
3
Videos
- Swirl 1.1
- Swirl 1.2
- Swirl 1.3
Course Project
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1
PeerReview
1
Peer Review
- Course Project: Shiny Application and Reproducible Pitch
Share Your Feedback
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1
Readings
1
Readings
- Post-Course Survey
Auto Summary
"Developing Data Products" is a foundational course in Data Science & AI, ideal for those looking to harness the power of statistical analysis to create impactful data products. Led by Coursera, this comprehensive program delves into the essentials of developing data products utilizing Shiny, R packages, and interactive graphics. Learners will gain an in-depth understanding of the statistical principles necessary to craft data products that effectively communicate data-driven stories to a broad audience. Spanning 600 minutes of engaging content, the course offers flexible subscription options including Starter, Professional, and Paid plans, making it accessible for beginners and seasoned professionals alike. Whether you're looking to automate complex analysis tasks or enhance the utility of data-informed models and algorithms, this course provides the tools and knowledge to succeed in the dynamic field of data science.
Brian Caffo, PhD
Jeff Leek, PhD
Roger D. Peng, PhD