UX Data Analytics

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Course Description

The objective of this course is to develop the ability to derive design insights from quantitative data, similar to the expertise of a UX Researcher. You will learn skills necessary to analyze user/consumer analytical data and how to use statistical tools (R for Statistics) to interpret results. Specific insight tools include A|B testing, factor analysis, linear regression, max/diff analysis and customer life value analysis. The ethics of collecting and analysis of consumer/user data will be explored. Class content will be a mix of lectures, exercises, case studies and a summary team-based project. This class compliments ME341 Design Experiments and can be taken concurrently or after ME341.

Grading Basis

RLT - Letter (ABCD/NP)

Min

3

Max

3

Course Repeatable for Degree Credit?

No

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No