UX Data Analysis
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.
What you'll learn
- Descriptive Statistics
- Study Design
- Bias Sources
- Hypothesis Testing
- Means of Comparison
- Two-Way ANOVA
- Applying it all to UX
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| Rating | Not enough ratings |
|---|---|
| Length | 6 weeks |
| Effort | 6 weeks, 6–9 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $299 |
| From | HECMontrealX, HEC Montréal via edX |
| Instructors | Chantal Labbé, Marc Fredette |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science Social Sciences |
| Tags | Computer Science Data Analysis & Statistics Social Sciences |
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| Rating | Not enough ratings |
|---|---|
| Length | 6 weeks |
| Effort | 6 weeks, 6–9 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $299 |
| From | HECMontrealX, HEC Montréal via edX |
| Instructors | Chantal Labbé, Marc Fredette |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science Social Sciences |
| Tags | Computer Science Data Analysis & Statistics Social Sciences |
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