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Purdue Self-Service

 

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Syllabus Information

 

Fall 2016
May 18, 2024
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Syllabus Information
Web Data Analytics - 15422 - MGMT 59000 - 313

Associated Term: Fall 2016
Levels: Undergraduate, Graduate, Professional

West Lafayette Campus
Lecture Schedule Type

Learning Outcomes: This industry-agnostic course is focused on training leaders to be able to talk to and manage the people who are collecting data and are making inferences from the data, and then make data-driven decisions. It will cover tools to collect, manipulate, and analyze data from the web and other sources, with the objective of making students data savvy and comfortable with deriving insights from real-world, large datasets. Students will be exposed to the power of clickstream analysis and the possibilities that can be unleashed from testing and experimentation. By combining analytics skills with business acumen, it is geared toward providing students with the highly desired background – MBA/Masters with data analytics knowledge! The emphasis of the course will be on data savviness and practical usefulness.
Required Materials:
Technical Requirements: Students are not expected to have programming experience, but should have a keen desire to learn some web crawling and unstructured text processing (Python) and statistical modeling in R. Some knowledge of basic statistics (i.e., descriptive statistics, t-tests, and regression) would be desired.

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