Certificate Data-Driven UX for Product Growth

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The Certificate in Data-Driven UX for Product Growth is a comprehensive course designed to equip learners with essential skills in utilizing data to enhance user experience (UX) and drive product growth. This course emphasizes the importance of data-driven decision-making in UX design and product management, making it highly relevant in today's data-driven business landscape.

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In this course, learners will gain hands-on experience in collecting, analyzing, and interpreting user data to inform design and product decisions. They will also learn how to use data to measure the success of their UX designs and product features, and how to optimize them for better user engagement and retention. Additionally, learners will explore the latest UX trends and best practices, and learn how to apply them in real-world scenarios. With the growing demand for UX designers and product managers who can leverage data to drive growth, this course provides learners with a valuable skillset that can help them advance their careers and stand out in the job market. By the end of this course, learners will have a solid understanding of the principles and best practices of data-driven UX design, and will be able to apply them to real-world projects and products.

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โ€ข Data-Driven UX Fundamentals: Understanding the connection between data, user experience (UX), and product growth. Introducing key concepts, tools, and methodologies.
โ€ข User Research and Data Collection: Techniques for gathering and analyzing user data, including surveys, interviews, usability testing, and analytics tools.
โ€ข Data Visualization and Interpretation: Presenting data in clear, actionable ways, with a focus on visualization techniques and best practices.
โ€ข Personas and User Journeys: Creating data-driven personas and user journey maps to inform UX design decisions.
โ€ข A/B Testing and Experimentation: Implementing A/B tests and interpreting results to optimize product growth and UX.
โ€ข Usability Testing and Heuristic Evaluation: Methods for evaluating and improving the usability of digital products, including heuristic evaluation, cognitive walkthroughs, and think-aloud protocols.
โ€ข Data-Driven Design Patterns: Exploring design patterns and frameworks that leverage data to create more engaging and effective user experiences.
โ€ข Communicating Insights and Recommendations: Translating data insights into actionable recommendations for product teams and stakeholders.
โ€ข Privacy and Ethical Considerations: Understanding the ethical implications of data-driven UX, including data privacy, informed consent, and accessibility.

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CERTIFICATE DATA-DRIVEN UX FOR PRODUCT GROWTH
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ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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