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Career Advancement Programme in Collaborative Supply Chain Data Science

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Supply Chain Data Science: Advance your career with our intensive programme. Designed for professionals in logistics, procurement, and operations.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Master advanced analytics techniques. Learn predictive modelling and machine learning. Develop expertise in data visualization and supply chain optimization. Gain practical skills through real-world case studies and projects. Boost your earning potential and become a leader in collaborative supply chain management. Limited spaces available. Enroll now to transform your career!

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์–ด๋””์„œ๋“  ํ•™์Šต

๊ณต์œ  ๊ฐ€๋Šฅํ•œ ์ธ์ฆ์„œ

LinkedIn ํ”„๋กœํ•„์— ์ถ”๊ฐ€

์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Supply Chain Fundamentals and Data Analytics
  • Collaborative Planning, Forecasting, and Replenishment (CPFR)
  • Data Mining and Predictive Modeling for Supply Chains
  • Advanced Analytics Techniques for Supply Chain Optimization
  • Database Management and SQL for Supply Chain Data
  • Visualization and Communication of Supply Chain Insights
  • Blockchain Technology in Supply Chain Management
  • AI and Machine Learning Applications in Supply Chain
  • Case Studies in Collaborative Supply Chain Data Science

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role (Supply Chain Data Science) Description Data Scientist (Supply Chain Optimisation) Develop and implement advanced analytical models to optimize logistics, inventory management, and forecasting, leveraging machine learning and predictive analytics.

High demand in the UK's growing e-commerce sector.

Supply Chain Analyst (Advanced Analytics) Analyze large datasets to identify trends, patterns, and inefficiencies within the supply chain.

Requires strong data visualization and communication skills to present actionable insights to stakeholders.

Significant growth predicted.

Predictive Modelling Specialist (Logistics) Utilize statistical modelling and machine learning techniques to predict future demand, optimize routing, and improve delivery times.

Crucial role in reducing operational costs and improving customer satisfaction.

Data Engineer (Supply Chain Integration) Design, build, and maintain data pipelines and infrastructure to support data-driven decision-making within the supply chain.

Involves working with various databases and cloud platforms.

Strong demand for cloud-based solutions.

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์‚ฌ์ „ ๊ณต์‹ ์ž๊ฒฉ์ด ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ ‘๊ทผ์„ฑ์„ ์œ„ํ•ด ์„ค๊ณ„๋œ ๊ณผ์ •.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN COLLABORATIVE SUPPLY CHAIN DATA SCIENCE
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
Stanmore School of Business (SSB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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4.8

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