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所在平台: Udemy |
课程主页: https://www.udemy.com/course/supply-chain-demand-forecasting-with-python/
课程评论：没有评论
**课程名称：** 使用 Python 进行供应链需求预测 **课程概述：** 理解和预测需求是供应链规划中的核心挑战。更精准的预测意味着更优的供应计划、更高效的业务运营以及更好的客户服务，因此掌握更佳的预测技能是供应链管理的关键。需求预测看似简单，但在面对数千种SKU（库存单位）且每种SKU都有其独特的季节性、间歇性或不规则性需求模式时，会变得非常复杂。 本课程将带您从基础到高级，学习各种需求预测模型，并使用 Python 实现这些模型。您将通过真实世界的案例获得实践经验，这些案例包含超过3000种SKU、5年以上的历史数据以及数百万笔交易。完成课程后，您将能够理解昂贵的商业软件中高级需求预测引擎的工作原理，并构建自己的全自动化预测引擎。 本课程不仅教授您如何构建预测模型和预测需求，还将指导您创建一个Python工具，该工具能够根据您的数据自动优化和选择最佳的预测模型。最后，您将学会以直观的方式可视化所有预测数据和误差。
Understanding and predicting the demand is one of the key challenge in Supply chain planning. Having better forecasting meaning better supply planning and optimized business operations with good customer service, therefore learn to build better forecast is a key skill to master in Supply chain management. Demand forecasting sounds simple but it will get complex when we have thousands of SKUs and each with its own demand pattern such as seasonal, intermittent and lumpy. In this course you will learn demand forecasting models from basic to more advanced. And implement each of the models in Python. You will gain practical knowledge with real life data with over 3000 skus and over 5 years of data and millions of transactions. By the time you complete the course you would have learned how advanced demand forecasting engine works in expensive commercial software and you would build your own fully automated forecasting engine. In this course you will not only learn to build forecasting models and predict demand but also learn to build a python tool which can automatically optimize and select the best forecasting model based on your data.Last but not least, you will learn to visualize all the forecasted data and errors in an intutive way.
