Global Certificate in UX Data Analysis for Startups
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⢠Introduction to UX Data Analysis: Understanding the basics of UX data analysis, its importance, and the role it plays in startups.
⢠Data Collection Methods: Exploring various methods to collect UX data, such as surveys, interviews, usability testing, and analytics tools.
⢠Data Analysis Techniques: Learning different techniques to analyze UX data, including statistical analysis, heuristic evaluation, and qualitative analysis.
⢠UX Metrics and KPIs: Identifying and measuring key UX metrics and KPIs, including user engagement, conversion rates, and user satisfaction.
⢠Data Visualization: Presenting UX data in a clear and compelling way to enable informed decision-making.
⢠Integrating UX Data into Business Strategy: Understanding how to use UX data to inform product development, marketing, and sales strategies.
⢠Ethical Considerations in UX Data Analysis: Ensuring that UX data is collected and analyzed in a way that respects user privacy and ethical guidelines.
⢠Case Studies in UX Data Analysis: Examining real-world examples of how UX data analysis has been used to improve startup products and services.
⢠Best Practices in UX Data Analysis: Learning from the experiences of UX data analysis experts and applying best practices in startups.
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