Stanford Seminar - Mobile Social and Fashion: Three Stories from Data-Driven Design
Ranjitha Kumar explores the use of data-driven design in mobile, social, and fashion applications. She examines how data can be used to create better design tools and how designs can be used to achieve desired outcomes. She also discusses the importance of understanding user preferences and how to use data to inform design decisions. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
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Updated in [February 21st, 2023]
In this talk, Ranjitha Kumar discusses questions based on designs such as :
How to leverage data to build better design tools and scaffold the design process? How can one understand how to use designs to leverage preferred outcomes? She discusses design, icon and screen semantics to improve accessibility, and modeling brand perception.
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
This course provides an opportunity for learners to explore the potential of data-driven design and how it can be used to create better design tools and scaffold the design process. It also covers topics such as accessibility, icon and screen semantics, and modeling brand perception.
Possible Development Paths include pursuing a career in data-driven design, UX/UI design, or product design. Learners could also pursue further education in design, data science, or computer science.
Learning Suggestions for learners include exploring the potential of data-driven design, understanding the principles of UX/UI design, and learning how to use design to leverage preferred outcomes. Learners should also research the latest trends in design, data science, and computer science. Additionally, learners should practice their design skills by creating projects and prototypes.
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