BUSQOM 1760 - DATA MINING

Minimum Credits: 3
Maximum Credits: 3
Data mining is the process of extracting useful information and knowledge from a set of data. Mining is typically done on data sets too large to be analyzed by hand, but the same techniques are applicable to small, complex data. This course is an introduction to the most popular methods used in managerial data mining and provides you with hands-on experience in using open-source programming language to explore real data sets. Models considered include those from statistics, machine learning, and artificial intelligence, such as logistic regression, classification and regression trees, random forests, and neural nets. The course is methods-oriented, so you will learn about when and how to use the different techniques and how to interpret their output. An overview of the theory behind each of the methods covered in class will also be conducted. A laptop computer is required.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade
Course Requirements: PREQ: BUSQOM 1080 and BUSQOM 0102 and STAT 1100

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