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.
Athena Title
Data for Consumer Analytics
Prerequisite
STAT 2000 or STAT 2000E or permission of department
Semester Course Offered
Not offered on a regular basis.
Grading System
A - F (Traditional)
Course Objectives
To connect data needs with strategic questions and analytical strategies • To articulate the benefits and limitations of different data sources • To evaluate the quality of a given data source • To access and prepare data for projects • To design data strategies for consumer analytics projects
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
Syllabus