Executive Programme in HRM Analytics for Mining

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The Executive Programme in HRM Analytics for Mining is a certificate course designed to empower mining professionals with data-driven HR skills. In today's digital age, there's an increasing demand for HR professionals who can leverage analytics to drive strategic decisions and enhance organizational performance.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

This course is important as it provides learners with the necessary tools and techniques to analyze HR data in the mining industry, enabling them to optimize workforce planning, talent management, and employee engagement strategies. The course covers essential topics such as predictive analytics, data visualization, and HR metrics, providing learners with a comprehensive understanding of HRM analytics. Upon completion of this course, learners will be equipped with the essential skills required to advance their careers in the mining industry. They will have the ability to use data to drive decision-making, enhance workforce productivity, and contribute to the overall success of their organization.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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้€ฑ2-3ๆ™‚้–“

ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to HRM Analytics for Mining: Understanding the role of data-driven decision making in HR management within the mining industry.

โ€ข Data Collection and Management: Techniques for collecting and managing HR data in mining organizations.

โ€ข Data Analysis for HR: An overview of data analysis tools and techniques for HR professionals.

โ€ข Predictive Analytics in HR: Utilizing predictive analytics to identify trends and make informed decisions in HR management for mining companies.

โ€ข HR Metrics and Measurement: Defining and tracking key HR metrics for mining organizations.

โ€ข Workforce Planning and Analytics: Utilizing data to inform workforce planning and strategy in the mining industry.

โ€ข Talent Management and Analytics: Leveraging data to optimize talent management processes in mining companies.

โ€ข Employee Engagement and Analytics: Using data to measure and improve employee engagement in mining organizations.

โ€ข Legal and Ethical Considerations in HR Analytics: Understanding legal and ethical considerations for using data in HR decision making in the mining industry.

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ๅ…ฅๅญฆ่ฆไปถ

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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“ใฎใ‚ณใƒผใ‚นใ‚’ไป–ใฎใ‚ณใƒผใ‚นใจๅŒบๅˆฅใ™ใ‚‹ใ‚‚ใฎใฏไฝ•ใงใ™ใ‹๏ผŸ

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
EXECUTIVE PROGRAMME IN HRM ANALYTICS FOR MINING
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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