subject
Intro

Coursera: Developing Data Products

 with  Brian Caffo
Sponsored
An ​online ​MBA ​redesigned ​for ​business ​professionals
University ​of ​Illinois ​at ​Urbana-Champaign via Coursera
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.

Syllabus

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

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.

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.

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.

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

18 Student
reviews
Cost Free Online Course (Audit)
Subject Data Science
Provider Coursera
Language English
Certificates Paid Certificate Available
Hours 4-9 hours a week
Calendar 4 weeks long
Sign up for free? Learn how
+ Add to My Courses
Learn Digital Marketing udacity.com

Gain real-world experience running live campaigns as you learn from top experts.

Advertisement
Become a Data Scientist datacamp.com

Learn Python & R at your own pace. Start now for free!

Advertisement
FAQ View All
What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

18 reviews for Coursera's Developing Data Products

Write a review
2 out of 3 people found the following review useful
2 years ago
Bill Seliger completed this course.
This was the 9th course in the series I completed and I found it the most fun. I also learned a tremendous amount that I have directly applied at work. The course project is much more flexible than the prior course projects and allows a student to develop a data product of their own choosing. This allows you to work Read More
This was the 9th course in the series I completed and I found it the most fun. I also learned a tremendous amount that I have directly applied at work. The course project is much more flexible than the prior course projects and allows a student to develop a data product of their own choosing. This allows you to work on what you enjoy - I created a Linear Programming/Optimization data product. This is also a great opportunity to pull together tools you learned in the prior courses and helps integrate how to use R, how to get help, and how to "sell" a data product to your target audience.
Was this review helpful to you? YES | NO
1 out of 2 people found the following review useful
2 years ago
Bill Seliger completed this course, spending 8 hours a week on it and found the course difficulty to be medium.
This is a great course if you want to learn how to develop data products that others can use. The course materials cover presenting data products and the course project requires the student to develop a data product in R/Shiny that is hosted on the internet. This requires a fairly strong background in R and a little Read More
This is a great course if you want to learn how to develop data products that others can use. The course materials cover presenting data products and the course project requires the student to develop a data product in R/Shiny that is hosted on the internet. This requires a fairly strong background in R and a little HTML/Linux administration wouldn't hurt but is not necessary. This is the 9th course in teh JHU Data Science Specialization for me and it's also the one I enjoyed the most.
Was this review helpful to you? YES | NO
1 out of 1 people found the following review useful
2 years ago
profile picture
Anonymous completed this course.
It was a great course that you will enjoy using the last trend in data products. Further you will interact with other people and you receive a positive feedback about your last task.
Was this review helpful to you? YES | NO
a year ago
Brandt Pence completed this course, spending 3 hours a week on it and found the course difficulty to be easy.
This is the final course before the capstone in the Data Science specialization from Johns Hopkins on Coursera. Overall this is one of the coolest courses in the specialization. It covers production of data products (as the name suggests), such as web-based data apps using Shiny and HTML-based presentations using Sli Read More
This is the final course before the capstone in the Data Science specialization from Johns Hopkins on Coursera. Overall this is one of the coolest courses in the specialization. It covers production of data products (as the name suggests), such as web-based data apps using Shiny and HTML-based presentations using Slidify, among other things. These two procedures are then used for the final project, in which the student creates his/her own Shiny-based app as well as a Slidify-produced presentation introducing the app.

This may not be the most directly useful course in the specialization for most students, but it is very interesting and more fun than most of the preceding courses. I spent a fair amount of time getting my Shiny app (a simple body mass index calculator and population distribution visualizer) to work the way I wanted, and I was pretty happy with the way it turned out. I can see a lot of use for these tools in education, and there are probably myriad applications in business as well.

Overall, four stars. One of my favorite courses in the specialization, even if I will probably rarely use what I learned.
Was this review helpful to you? YES | NO
a year ago
Jason Michael Cherry completed this course, spending 2 hours a week on it and found the course difficulty to be easy.
Compared to the other classes in the JHU Data Science specialization, this one is pretty laid back. It's useful information, and teaches a few nice tricks on how to present data analysis results.
Was this review helpful to you? YES | NO
a year ago
Ronny De Winter completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
Good overview of tools to use in rstudio to produce data products. Especially liked shiny: efficient tool to produce useful data products on the web.
Was this review helpful to you? YES | NO
0 out of 1 people found the following review useful
2 years ago
Radomir Nowacki completed this course.
Was this review helpful to you? YES | NO
2 out of 11 people found the following review useful
2 years ago
profile picture
Anonymous dropped this course.
The title should be more like "Developing Money From Gullible Students Who Don't Know Any Better". Don't take this course, you will not bring anything out of it.
Was this review helpful to you? YES | NO
2 years ago
Mark Henry Butler completed this course.
Was this review helpful to you? YES | NO
9 months ago
Hong Xu completed this course.
Was this review helpful to you? YES | NO
2 years ago
Colin Khein completed this course.
Was this review helpful to you? YES | NO
a year ago
Shrikant Nimbalkar completed this course.
Was this review helpful to you? YES | NO
2 years ago
Jinwook completed this course.
Was this review helpful to you? YES | NO
2 years ago
Jan Tatham partially completed this course.
Was this review helpful to you? YES | NO
a year ago
Janet Wesner audited this course.
Was this review helpful to you? YES | NO
a year ago
Gary Baggett completed this course.
Was this review helpful to you? YES | NO
a year ago
Kuhnrl30 completed this course.
Was this review helpful to you? YES | NO
0 out of 4 people found the following review useful
2 years ago
profile picture
Rafael Prados completed this course.
Was this review helpful to you? YES | NO

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free