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Professional Certificate in Data Mining for Supply Chain Management

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Data Mining for Supply Chain Optimization
  • Data Wrangling and Preprocessing for Supply Chain Data
  • Predictive Modeling Techniques in Supply Chain Management
  • Supply Chain Forecasting using Machine Learning
  • Data Visualization and Business Intelligence for Supply Chain Decisions
  • Advanced Analytics for Inventory Management
  • Case Studies in Data Mining for Supply Chain
  • Ethical Considerations and Data Privacy in Supply Chain Analytics

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Data Scientist (Supply Chain) Develops and implements predictive models using data mining techniques to optimize supply chain processes, forecasting demand, and improving efficiency.

Strong data mining skills are essential.

Supply Chain Analyst (Data Focused) Analyzes large datasets to identify trends and patterns impacting supply chain performance.

Uses data mining and visualization to support strategic decision-making within the supply chain.

Business Intelligence Analyst (Supply Chain) Extracts and interprets data from various supply chain systems.

Develops reports and dashboards using data mining insights to improve supply chain visibility and performance.

Focus on supply chain management KPI's.

Predictive Maintenance Specialist (Supply Chain) Uses data mining techniques and machine learning to predict equipment failures, proactively scheduling maintenance and minimizing downtime in supply chain operations.

This role requires strong supply chain and data analytics skills.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
PROFESSIONAL CERTIFICATE IN DATA MINING FOR SUPPLY CHAIN MANAGEMENT
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
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