课程背景： 本课程主要介绍预测的准备与数据清洗，传统预测技术与模型及实践应用，A预测模型介绍，及预测准确率分析、评估方法和标准等。 课堂的重点是实践演练，预测课堂练习主要通过EXCEL函数，高级分析工具库Toolpak，并介绍Minitab与IBM SPSS的专业统计工具的预测分析方法，通过本课堂学习与练习，学员可以切实牢固掌握预测专业模型的知识和与分析方法及相关专业技能。 This course focuses on comprehensive and practical forecasting methodologies, covering data preparation & preprocessing, classical forecasting models and their applications, AI forecasting modeling, and quantitative accuracy evaluation (MAE, RMSE, MAPE). Centered on hands-on practice, the course adopts Excel functions and Analysis ToolPak for exercises, and introduces predictive analysis with Minitab and IBM SPSS. After the course, participants will master professional forecasting models, analytical methods and core skills for data-driven decision-making.
