UX Data Analysis for Design Decisions
Master UX data analysis from qualitative research to big data analytics, and learn to make data-driven design decisions for optimal user experiences.
Master UX data analysis from qualitative research to big data analytics, and learn to make data-driven design decisions for optimal user experiences.
This comprehensive course teaches methods and tools for analyzing the full spectrum of UX data. Students will learn to handle both qualitative user research and quantitative analytics, including web analytics and big data. The course covers statistical methods, study design, hypothesis testing, and practical applications in UX, making complex data analysis accessible to all levels. Using Excel for hands-on practice, students will develop skills to make empirically-based UX recommendations.
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Instructors:
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What you'll learn
Master descriptive statistics and hypothesis testing for UX analysis
Design effective UX research studies while minimizing bias
Analyze qualitative and quantitative user research data
Apply statistical methods to evaluate user experiences
Leverage web analytics and big data for UX insights
Make data-driven recommendations for improved user experiences
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course bridges the gap between UX design and data science, teaching students how to analyze and interpret various types of user data. Covering both qualitative and quantitative methods, the course includes descriptive statistics, study design, bias analysis, hypothesis testing, and practical applications in UX. Students learn to use statistical tools and methods specifically for UX research, making data-driven decisions to improve user experiences.
Fee Structure
Instructors
8 Courses
Probability and Financial Engineering Expert at HEC Montréa
Chantal Labbé, Associate Professor at HEC Montréal, specializes in stochastic processes, financial engineering, and portfolio optimization, with award-winning teaching in decision sciences.
8 Courses
Leading Statistician and User Experience Researcher at HEC Montréal
Marc Fredette, Professor at HEC Montréal, specializes in biostatistics, Bayesian stats, and longitudinal data analysis, advancing UX research and education.
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Frequently asked questions
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