Title | Introductory Data Science for Managers |
Quarter | Spring 2017 |
Instructor | Greg Zaric |
Syllabus | Course Description This course provides an introduction to data science and data mining concepts for managers. The goal is to give managers an overview of the field so that they can understand the potential of these methods in their own business environment. The course is taught at the MBA/Executive MBA level and focuses on understanding the managerial significance of the tools rather than the underlying mathematics. Case studies will be used to illustrate the application of techniques in a business setting. Course Contents
At the completion of the course, students will be able to do the following:
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Instruction Format | |
Assessment | |
TextBook | Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, Third Edition, by Shmueli, Bruce and Patel https://www.amazon.com/Data-Mining- Business-Analytics-Applications/dp/1118729277 |
Pre-Requisite | Familiarity with statistics and linear regression at the level of an MBA core class; comfort in using Microsoft Excel |
Time | TBA |
Location | TBA |
TA Information | TBA |
Effort Required | 10-15 hours/week |
Certification | Participants who complete the course will receive an instructor-signed certificate with a letter grade |
Computer Requirements | Examples and demonstrations in class will make use of the XLMiner add-in from Frontline systems. A four-month license for this software is included with a purchase of the textbook. This software only works in a PC environment. Participants may also use R and the R Commander add-in. However, this software will not be formally supported as part of the class. |
Get certificate of course completion
Attend highly interactive and hands on TA sessions and get help on projects and in-class programming sessions
Get access to course material, projects, graded homework