Global Certificate in Retail Analytics for High-Performance

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The Global Certificate in Retail Analytics for High-Performance course is a comprehensive program designed to equip learners with essential skills in retail analytics. This course is critical in the current retail landscape, where data-driven decision-making is paramount for success.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the increasing demand for data analytics in the retail industry, this course offers a unique opportunity for learners to advance their careers. It provides a solid foundation in retail analytics, enabling learners to interpret and analyze data to drive business growth and improve customer experience. The course covers key topics such as data visualization, customer analytics, assortment planning, pricing analytics, and inventory management. Upon completion, learners will be able to leverage data-driven insights to make strategic decisions, increasing their value to employers in the retail sector. In a competitive job market, this course sets learners apart, demonstrating their expertise in retail analytics and their commitment to continuous learning and development.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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้€ฑ2-3ๆ™‚้–“

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Retail Analytics Fundamentals: Understanding the basics of retail analytics, its importance, and how it can drive high-performance in the retail industry.
โ€ข Data Collection Techniques: Exploring various data collection methods, including online and offline sources, to gather valuable insights.
โ€ข Data Analysis Tools: Introduction to tools and technologies used for analyzing retail data, such as SQL, Python, R, and Tableau.
โ€ข Performance Metrics: Defining key performance indicators (KPIs) in retail, such as sales conversion rate, average order value, and customer lifetime value.
โ€ข Customer Analytics: Analyzing customer behavior, preferences, and trends to drive customer-centric strategies.
โ€ข Inventory Management Analytics: Understanding inventory management best practices and how data analytics can optimize inventory levels.
โ€ข Marketing Analytics: Measuring and optimizing marketing campaigns to drive customer engagement and revenue.
โ€ข Supply Chain Analytics: Analyzing supply chain data to improve efficiency, reduce costs, and increase customer satisfaction.
โ€ข Data Visualization and Reporting: Presenting data insights in a meaningful and visually appealing way to inform decision-making.

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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‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN RETAIL ANALYTICS FOR HIGH-PERFORMANCE
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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