Information Technology
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UX Data Analysis

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HEC Montreal

via

edX
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Course Features

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Duration

6 weeks

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

9 hours per week

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Teaching Type

Self Paced

Course Description

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.

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 stats knowledge is needed. You will need to use MS Excel to do the final exam and complete the certification. Join us in the journey to unlock the insights of UX data, through the UX Design and Evaluation MicroMasters, or as an individual course.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

No Prerequisites Required but if you are interested in the MicroMasters in UX Design and Evaluation, we strongly recommend that you complete the Introduction to UX and UX Research courses before starting this one.

What You Will Learn

Applying it all to UX

Bias Sources

Descriptive Statistics

Hypothesis Testing

Means of Comparison

Study Design

Two-Way ANOVA

Course Instructors

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Chantal Labbé

Associate Professor, Department of Decision Science at HEC-Montréal

Professor Labbé has earned a M. Sc. in Mathematics from the University of Montréal and her PhD from Waterloo University. She is a member of the Group for Research in Decision Analysis (GERAD). Chanta...
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Marc Fredette

Professor, Department of Decision Science at HEC Montréal

Professor Marc Fredette is a senior collaborator of the CRSNG-Prompt Industrial Research Chair in User Experience, member of the Tech3Lab Management Committee. He is also a member of several other re...
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