Course Description

Hands-on instruction in how to acquire, clean, and use a variety of data sources for the purpose of consumer analytics. Students develop knowledge of the types of data available and confidence in their ability to gather and use data across a variety of projects.

Additional Requirements for Graduate Students:
Graduate students will complete an individual data design, acquisition, and preparation project. They will document their process and the resulting data set and present their project.

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Athena Title

Data for Consumer Analytics

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Prerequisite

STAT 2000 or STAT 2000E or permission of department

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Semester Course Offered

Not offered on a regular basis.

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Grading System

A - F (Traditional)

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Student learning Outcomes

• Students will connect data needs with strategic questions and analytical strategies.
• Students will articulate the benefits and limitations of different data sources.
• Students will evaluate the quality of a given data source.
• Students will access and prepare data for projects.
• Students will design data strategies for consumer analytics projects.

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Topical Outline

• Introduction to Data
• Types of Data
• Data Type 1 Overview and Examples Project (with Guided Labs)
• Data Type 2 Overview and Examples Project (with Guided Labs)
• Data Type 3 Overview and Examples Project (with Guided Labs)
• Data Type 4 Overview and Examples Project (with Guided Labs)
• Making Data Decisions

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Institutional Competencies Learning Outcomes

Analytical Thinking

The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.

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Syllabus

Select Faculty / Instructor to download syllabus:   Ahn, Daehwan

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Public CV

Select a file to download:   DaehwanAhn_CV.pdf

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