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所在平台: Udemy |
课程主页: https://www.udemy.com/course/demand-forecasting-m/
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课程名称：需求预测 课程概述：在本课程中，您将学习不同的需求预测方法，包括实例分析。课程将介绍定性预测方法，例如德尔菲法、销售团队预测、高管意见和客户调查/市场研究。您还将了解当历史数据呈现趋势时如何进行预测的相关概念。该课程适合学习运营管理的学生以及在IT行业中负责需求预测规划和实施的专业人士。课程包含28节讲座，涵盖需求预测的主要主题，包括需求预测基础、需求组成部分、定性预测方法、简单移动平均基础、加权移动平均基础、指数平滑基础、指数平滑的α值、趋势调整指数平滑基础、使用乘法季节性方法进行 forecasting 的季节性影响基础、基于因果关系的线性回归预测，季节性影响基础以及使用均方误差（MSE）、标准差（sigma）、平均绝对偏差（MAD）和平均绝对百分比误差（MAPE）来衡量预测误差。同时，课程中将详细说明各主题的实例分析。请注意，本课程不包含使用Excel进行需求预测的内容，但详细解释了所有技术和基础知识。
In this course, you will learn the different methods of Demand Forecasting including examples. In this course, you will also learn about the qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey / market research. You will also learn the concepts of how to find out the forecast when the historical data has a trend.This course can be useful for students studying operations management, professionals working in IT industry responsible for the planning and implementation of demand forecasting. There will be 28 lectures in the course covering the main topics of demand forecasting. Following are the lectures that are part of the demand forecasting course- Fundamentals of demand forecasting, Components of demand, Qualitative methods of forecasting, Fundamentals of simple moving average, Fundamentals of weighted moving average, Fundamentals of Exponential smoothing, Value of alpha for exponential smoothing, Fundamentals of trend adjusted exponential smoothing, Fundamentals of Seasonal influence in forecasting using multiplicative seasonal method, Linear regression using Causal relationship forecasting, Fundamentals of Seasonal influence in forecasting and Measurement of Forecasting error using Mean Squared error (MSE), Standard deviation (sigma), Mean absolute deviation (MAD) and Mean absolute percent error (MAPE). This will also covers the examples of each of these topics.Please note that this course does not contain usage of Excel for Demand Forecasting. However, it explains all the techniques and fundamentals with elaborate examples in detail.
