Global Certificate in UX Data Analytics: Design with Data

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The Global Certificate in UX Data Analytics: Design with Data is a crucial course for professionals seeking to excel in user experience (UX) design. This certificate program emphasizes data-driven design, bridging the gap between data analytics and UX design.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In today's data-centric world, there's growing demand for UX designers who can interpret and apply data to improve user interfaces and overall digital experiences. This course equips learners with essential skills to meet this industry need, such as data analysis, visualization, and communication. By the end of this program, learners will be able to utilize data to make informed design decisions, validate design choices, and create more intuitive and efficient user experiences. This certificate course not only enhances learners' skillsets but also offers a competitive edge in the job market, leading to potential career advancement opportunities in various industries.

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ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to UX Data Analytics: Understanding the basics of UX data analytics, its importance, and how it contributes to the design process.
โ€ข UX Research Methods: Exploring various UX research methods, such as usability testing, surveys, interviews, and user personas.
โ€ข Data Collection Techniques: Learning how to collect and organize data using tools like Google Analytics, Hotjar, and FullStory.
โ€ข Data Analysis for UX Design: Analyzing and interpreting data to identify user behavior patterns, pain points, and areas for improvement.
โ€ข Quantitative vs Qualitative Data: Understanding the differences between quantitative and qualitative data, and how to use each type effectively in UX design.
โ€ข Visualizing UX Data: Creating data visualizations and reports to communicate findings and recommendations to stakeholders.
โ€ข Designing with Data: Incorporating data insights into the design process, and using data to inform design decisions.
โ€ข Ethics in UX Data Analytics: Understanding the ethical considerations around UX data analytics, including privacy, consent, and data security.
โ€ข Advanced UX Data Analytics: Exploring advanced UX data analytics techniques, such as predictive analytics and machine learning.

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ใ‚ณใƒผใ‚นใ‚’ๆญฃๅธธใซๅฎŒไบ†ใ™ใ‚‹ใจใ€ไฟฎไบ†่จผๆ˜Žๆ›ธใ‚’ๅ—ใ‘ๅ–ใ‚Šใพใ™ใ€‚

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ใ‚ณใƒผใ‚นใ‚’ๅฎŒไบ†ใ™ใ‚‹ใฎใซใฉใ‚Œใใ‚‰ใ„ๆ™‚้–“ใŒใ‹ใ‹ใ‚Šใพใ™ใ‹๏ผŸ

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN UX DATA ANALYTICS: DESIGN WITH DATA
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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