In this sixth module, you will not develop the prototype any further. Instead, you will expand your system with an analytics dashboard across all connected light bulbs. This will provide you with insights on the performance of a product and user usage.
After this module, you should be able to:
Explain the concepts of data product and the role of data analytics
Collaborate with your team members around code development with Git and GitHub.
In this module, the self-study material focus on product analytics. Zooming out from one prototype to a fleet of products, we will explore what makes a 'data product' and how data can be used in different ways depending on the lens and scale. In this context, we will touch on designers' responsibilities regarding privacy.
In this assignment, we will design an analytics dashboard for our prototype of Good Night Lamp. We will make an inventory of data collected throughout the course for our prototype as well as for the whole classroom. We will establish what information is missing, which would need to be gathered in future iterations.
In this last Lab Experiment, we will use a Jupyter Notebook to guide us through building common data charts using data from Raspberry Pis and lightbulbs.
In this live session we will focus on answering your questions.
This will be the fifth group session with your coach. You will receive feedback about what you reported on your GitHub repository.
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