Certificate in Data-Driven UX Metrics

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The Certificate in Data-Driven UX Metrics course is a comprehensive program designed to equip learners with essential skills in user experience (UX) research and data analysis. This course is increasingly important in today's digital landscape, where businesses compete for user engagement and loyalty.

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AboutThisCourse

With a strong emphasis on data-driven decision-making, this course teaches learners how to measure and analyze UX metrics, identify user needs and pain points, and optimize digital products for better user experiences. Learners will also gain hands-on experience with popular UX research tools and techniques. As businesses continue to prioritize user experience, there is a growing demand for UX professionals with strong data analysis skills. By completing this course, learners will be well-positioned to advance their careers in UX research, design, and data analysis, and contribute to the success of digital products and services.

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CourseDetails

โ€ข Understanding Data-Driven UX Metrics
โ€ข Importance of User Experience (UX) Metrics
โ€ข Quantitative and Qualitative UX Data Analysis
โ€ข Key UX Metrics: Usability, User Engagement, and Conversion Rates
โ€ข Collecting and Analyzing UX Data with Google Analytics
โ€ข Utilizing Heatmaps, Session Recordings, and A/B Testing Tools
โ€ข Practical UX Metrics Applications in Website and App Design
โ€ข Communicating UX Metrics Insights to Stakeholders
โ€ข Continuous Improvement: Iterating on UX Design with Data-Driven Insights

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The **Certificate in Data-Driven UX Metrics** is a valuable credential for professionals looking to demonstrate their skills in the UK job market. This section features a 3D pie chart showcasing the demand for various roles related to data-driven UX design. The data is based on the latest job market trends and highlights the importance of data-driven decision-making in UX design. The chart reveals that UX Designers hold the largest share of the market, accounting for 45% of the demand. Data Analysts follow closely with 25%, while Data Scientists make up 15%. Front-End Developers and Back-End Developers each represent 10% and 5% of the demand, respectively. This 3D pie chart is designed with a transparent background and no added background color, allowing it to blend seamlessly into any web page. It is also fully responsive, adapting to all screen sizes by setting its width to 100%. Its height is set to an appropriate value of 400px for optimal visualization. The Google Charts library was loaded using the script tag and the chart data, options, and rendering logic were defined within the
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