UX Data Analysis for Design Decisions
This course is part of UX Design and Evaluation.
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
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: UX Design and Evaluation
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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