Python Meets UX: Enhancing User Experience with Code
summary
Shows how Python can be used to improve user experience by automating routine UX tasks, collecting and analyzing user data, and building personalized experiences; mentions using Python for web development, data analysis, and machine learning as the concrete technologies. Gives practical examples and guidance for UX designers to automate workflows, analyze user behavior, and iterate on designs using Python tools.
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chapters (12)
- 0:00Start
- 7:24Automating UX Tasks
- 10:20Utilizing Scikit-learn for User Segmentation
- 11:41Analyzing Customer Feedback with NLP
- 13:12Clickstream Analysis for Navigation Patterns
- 14:29Data Mining in Offline Setting
- 16:14Product Associations and Item Placements
- 21:05User Analytics and A/B Testing
- 21:44Button Color Test
- 23:26Navigation Menu Test
- 25:04User-Based Collaborative Filtering
- 26:15Conetent-Based Collaborative Filtering
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