Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations. Do big data and UX speak to you? This MOOC will give you the methods and tools to analyze the whole spectrum of data we handle in UX, from qualitative user research and quantitative user testing data analysis to big data Web analytics.

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You will be able to leverage insights from this data to make empirically-based recommendations towards frictionless, optimal user experiences.

Taught by award-winning faculty members, this course is an introduction to the statistical methods and tools useful to UX data analysis. No need to be a math whiz, this course was designed to be accessible to everyone.

No previous knowledge needed. Join us in the journey to unlock the insights of UX data, through the UX Design and Evaluation MicroMasters, or as an individual course.

This course is part of the UX Design and Evaluation MicroMasters.

What you'll learn

- Descriptive Statistics

- Study Design

- Bias Sources

- Hypothesis Testing

- Means of Comparison

- Two-Way ANOVA

- Applying it all to UX

Prerequisites

None.

But if you are engaged in the MicroMasters in UX Design and Evaluation , we very strongly recommend that do the Introduction to UX (UXe01x.1) and UX Research (UXe01x.1) before doing this one.

UX Design and Evaluation MicroMasters

Descriptive Statistics

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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