Endorsed by
Coursera 4.3 (9)
Overview
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. The Developing Data Products course offered by Coursera in partnership Johns Hopkins University 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.
What you will learn
- Develop basic applications and interactive graphics using GoogleVis
- Use Leaflet to create interactive annotated maps
- Build an R Markdown presentation that includes a data visualization
- Create a data product that tells a story to a mass audience
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Shiny, GoogleVis, and Plotly
- R Markdown and Leaflet
- R Packages
- Swirl and Course Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Computer Sciences Data Science & Big Data Machine Learning View 746 other Short Courses in Computer Sciences in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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