Introduction to Supply Chain Data Analysis

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Supply chain data analysis is crucial for modern businesses. This course teaches you to leverage data for better decision-making.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Learn to interpret supply chain metrics, forecast demand, and optimize logistics. We cover data visualization, predictive modeling, and statistical analysis. Designed for supply chain professionals, analysts, and students, this course equips you with practical skills. Master supply chain data analysis techniques to improve efficiency and profitability. Unlock the power of data. Enroll now and transform your supply chain management!

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์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Descriptive Statistics in Supply Chain Data
  • Data Visualization for Supply Chain Management
  • Supply Chain Forecasting Techniques
  • Regression Analysis for Supply Chain Optimization
  • Inventory Management & Data Analysis
  • Time Series Analysis in Supply Chain
  • Demand Forecasting & its applications
  • Data Mining and Predictive Modeling in Supply Chain

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Introduction to Supply Chain Data Analysis: UK Job Market Insights Career Role Description Supply Chain Analyst Analyze data to optimize logistics, inventory, and procurement processes.

A key role in improving efficiency and reducing costs.

Demand Planner Forecast future demand for products, ensuring optimal stock levels and minimizing waste.

Crucial for maintaining supply chain agility.

Data Scientist (Supply Chain) Develop and implement advanced analytical models using big data techniques to improve supply chain decision-making.

High demand for specialized skills.

Supply Chain Consultant Advise organizations on improving their supply chain strategies, implementing new technologies and processes.

Requires broad supply chain expertise and data analysis skills.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
INTRODUCTION TO SUPPLY CHAIN DATA ANALYSIS
์—๊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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