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Career Advancement Programme in Demand Forecasting with ML

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Demand Forecasting with ML: This Career Advancement Programme empowers professionals to master cutting-edge techniques in predictive analytics. Learn machine learning algorithms for accurate sales forecasting.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Develop expertise in time series analysis and statistical modeling. Ideal for data analysts, supply chain managers, and business strategists seeking career growth. Gain practical skills using Python and relevant libraries. Boost your marketability with in-demand data science skills. Improve decision-making with data-driven insights. Enroll now and transform your career in demand forecasting.

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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

  • Introduction to Demand Forecasting and its Business Applications
  • Time Series Analysis and Forecasting Methods
  • Regression Analysis for Demand Forecasting
  • Machine Learning Algorithms for Forecasting (e.g., ARIMA, Prophet, LSTM)
  • Feature Engineering for Demand Forecasting
  • Model Evaluation and Selection Metrics
  • Data Visualization and Communication of Results
  • Case Studies in Demand Forecasting with ML
  • Deployment and Automation of Forecasting Models
  • Ethical Considerations and Bias in Forecasting

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Role Description Demand Forecasting Analyst (Machine Learning) Leveraging ML algorithms to predict future demand, optimizing inventory and resource allocation.

A key role in supply chain management.

Data Scientist - Forecasting & Analytics Building and deploying predictive models using ML techniques, focusing on forecasting accuracy and business insights.

Requires strong statistical skills.

Machine Learning Engineer (Forecasting) Developing and maintaining ML pipelines for forecasting applications, ensuring scalability and robustness.

Involves significant coding and model deployment.

Business Intelligence Analyst (Predictive Modeling) Analyzing business data, developing forecasting models, and communicating insights to stakeholders.

Focuses on the business application of ML forecasts.

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN DEMAND FORECASTING WITH ML
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of Planning and Management (LSPM)
์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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