Certificate in Mobile Analytics for Business Intelligence

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The Certificate in Mobile Analytics for Business Intelligence is a comprehensive course that equips learners with the essential skills needed to excel in the rapidly growing field of mobile analytics. This course emphasizes the importance of data-driven decision making in mobile business strategies, making it highly relevant for professionals in various industries.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the increasing reliance on mobile devices for business operations and customer engagement, there is a high demand for experts who can analyze mobile data and turn it into actionable insights. This course covers key topics including mobile analytics tools, data visualization, and predictive analytics, empowering learners to make informed business decisions. By completing this course, learners will not only gain a deep understanding of mobile analytics but also develop a strong portfolio that showcases their skills and expertise. This will give them a competitive edge in the job market and open up exciting career advancement opportunities in various industries, including marketing, finance, and technology.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

Certificate in Mobile Analytics for Business Intelligence

โ€ข Mobile Analytics Fundamentals: Understanding the basics of mobile analytics, data collection, and processing for business intelligence. โ€ข Mobile Metrics and KPIs: Learning the essential metrics and KPIs to track in mobile analytics, including user acquisition, engagement, and retention. โ€ข Mobile App Performance Monitoring: Monitoring and analyzing mobile app performance, including load times, crash rates, and user behavior. โ€ข Mobile User Segmentation and Personas: Creating and utilizing user segments and personas to improve mobile app targeting and personalization. โ€ข Mobile Marketing Analytics: Analyzing mobile marketing campaigns, including push notifications, in-app messages, and email campaigns. โ€ข Data Visualization and Reporting: Visualizing and reporting mobile analytics data to stakeholders, using charts, graphs, and dashboards. โ€ข Data Integration and APIs: Integrating mobile analytics data with other business intelligence tools and using APIs for data access. โ€ข Privacy and Security: Ensuring mobile analytics data is collected, stored, and used in compliance with privacy and security regulations.

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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‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN MOBILE ANALYTICS FOR BUSINESS INTELLIGENCE
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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