商务大数据分析

(胡大宁)FET3062024春 2023春 2022春 2020春  
2024春 2023春 2022春 2020春
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选课类别:专业任务 教学语言:双语
课程类别:专业选修课 开课单位:金融系
课程层次:未知 获得学分:3.0
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课程简介(教工部数据)
现代商业通过交易系统,内外部的档案系统,以及线上活动记录可以获得越来越多的商务数据。如何运用先进的商务数据分析方法和模型,配合数据科学与信息系统技术来从这些数据中发现价值以支持商业决策和应用,是现代商业的重要挑战。本课程结合计量经济学分析等商务分析方法和机器学习等数据挖掘方法来分析大规模的商务数据。这门课主要涵盖以下课题:计量经济因果推断方法,数据的获取,处理和挖掘,文本与网络挖掘,社交网络分析,推荐系统,以及对计量经济学方法和及其学习的结合等。该课程的考核以期末考试和期末项目报告为主。


Firms now have more data than ever generated from transaction processing systems, internal and external documents, and online activities such as web sites, shopping experiences, and social networks. The challenge is to apply novel analytical and computing methods to derive insights from such business data and develop effective strategies or applications accordingly. This course aims to utilize and integrate analytical models and methods from business domains such as Econometrics and technology domains such as machine learning (data mining), to analyse large-scale business data sets. The main topics include Causal Inference, Social Network Analysis, Data Mining (Text and Web Mining), Recommendation Systems, and Integration of Econometrics and Machine Learning. The semester concludes with a final exam and a final project.
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