Professional Certificate in Data Analytics for UX Research Teams
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⢠Introduction to Data Analytics for UX Research: Basics of data analytics, data-driven decision making, and the role of data analytics in UX research.
⢠UX Research Methods and Data Collection: Common UX research methods, data collection techniques, and tools.
⢠Data Analysis Techniques for UX Research: Quantitative and qualitative data analysis techniques, statistical methods, and data visualization.
⢠Data Storytelling and Communication: Telling compelling stories with data, data communication, and data presentation.
⢠Implementing Data Analytics in UX Research Teams: Best practices for implementing data analytics in UX research teams, team structures, and collaboration.
⢠Ethics in Data Analytics for UX Research: Ethical considerations in data collection, analysis, and communication, ensuring data privacy and security.
⢠Emerging Trends in Data Analytics for UX Research: Latest trends, technologies, and best practices in data analytics for UX research.
Note: This list of units is not exhaustive and can be tailored based on the specific needs and goals of the professional certificate program.
Keywords: Professional Certificate, Data Analytics, UX Research, Data Collection, Data Analysis, Data Storytelling, Data Communication, Ethics, Emerging Trends.
Secondary Keywords: Data-driven decision making, UX research methods, team structures, collaboration, data privacy, data security, data visualization.
Target Audience: UX research teams, product managers, designers, developers, data analysts, and professionals interested in data analytics for UX research.
Industries: Technology, software development, user experience design, product management, data analytics, research, and development.
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