Executive Development Programme in Sports Analytics: Cloud Focus

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The Executive Development Programme in Sports Analytics: Cloud Focus is a certificate course designed to meet the growing industry demand for data-driven decision-making in sports. This programme emphasizes the importance of cloud computing in sports analytics, providing learners with essential skills for career advancement in this exciting and rapidly evolving field.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With a focus on real-world applications and case studies, the course covers key topics including data management, statistical analysis, machine learning, and visualization. Learners will gain hands-on experience with industry-leading cloud platforms such as AWS, Google Cloud, and Microsoft Azure, empowering them to leverage the full potential of sports analytics. As sports organizations increasingly turn to data to gain a competitive edge, the demand for skilled professionals with expertise in sports analytics has never been higher. This certificate course equips learners with the essential skills and knowledge they need to succeed in this high-growth field, providing a clear pathway to career advancement and success in the world of sports analytics.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅฎŒไบ†ใพใง2ใƒถๆœˆ

้€ฑ2-3ๆ™‚้–“

ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Sports Analytics: Understanding the basics of sports analytics and its importance in the modern sports industry.

โ€ข Cloud Computing for Sports Analytics: Overview of cloud computing, its advantages, and how it is used in sports analytics.

โ€ข Data Management on the Cloud: Hands-on training in managing large datasets on cloud platforms like AWS, Google Cloud, and Microsoft Azure.

โ€ข Data Visualization Tools: Learning to use Tableau, PowerBI, and other data visualization tools for sports analytics.

โ€ข Machine Learning for Sports Analytics: Introduction to machine learning techniques and algorithms for sports analytics, such as regression, classification, and clustering.

โ€ข Predictive Analytics in Sports: Hands-on training in building predictive models for sports analytics, such as player performance analysis and team performance prediction.

โ€ข Cloud Security and Privacy: Understanding the importance of security and privacy in cloud-based sports analytics and learning best practices to protect sensitive data.

โ€ข Ethics in Sports Analytics: Discussion on the ethical considerations in sports analytics and how to make informed decisions when using data in the sports industry.

โ€ข Case Studies in Sports Analytics: Analysis of real-world case studies to understand the practical applications and impact of sports analytics in the industry.

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ๅ…ฅๅญฆ่ฆไปถ

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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‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN SPORTS ANALYTICS: CLOUD FOCUS
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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