Global Certificate in UX Data Analytics

Name: Global Certificate in UX Data Analytics
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The Global Certificate in UX Data Analytics is a comprehensive course designed to empower learners with the essential skills required to thrive in the data-driven UX industry. This course highlights the importance of data-informed decision-making in UX design, bridging the gap between data analysis and user experience.

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AboutThisCourse

In an era where businesses rely heavily on data to make informed decisions, UX data analytics has become a critical component of successful product development. This course addresses the increasing industry demand for professionals who can gather, analyze, and apply user experience data to optimize digital solutions. Throughout the course, learners will master in-demand tools and techniques, such as data visualization, statistical analysis, and user research methods. By the end of the program, learners will be equipped with the skills needed to advance their careers in UX data analytics, driving user-centered design and maximizing product value.

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CourseDetails

• Introduction to UX Data Analytics: Understanding the basics of UX data analytics, its importance, and how it contributes to product development and user experience.
• UX Research Methods: Exploring various UX research methods, their applications, and best practices for gathering qualitative and quantitative data.
• Data Collection and Analysis Tools: Learning to use popular UX data analysis tools, such as Google Analytics, Hotjar, and Mixpanel, to collect and analyze user data.
• User Behavior Analysis: Analyzing user behavior patterns, identifying pain points, and determining areas for improvement to optimize user experience.
• Conversion Rate Optimization (CRO): Applying UX data analytics techniques to improve conversion rates, increase engagement, and drive business growth.
• A/B Testing and Experimentation: Designing and implementing A/B tests, interpreting results, and using data-driven insights to inform design decisions.
• UX Metrics and KPIs: Identifying key UX metrics, setting up goals and tracking performance using key performance indicators (KPIs) to measure the success of UX strategies.
• Communicating UX Data Analytics Insights: Presenting UX data analytics findings effectively to stakeholders, designers, and developers to facilitate collaboration and decision-making.

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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GLOBAL CERTIFICATE IN UX DATA ANALYTICS

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London School of International Business (LSIB)

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05 May 2025

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