DATA 135 - Project Management for Analytics

Credits: 5
Variable Credit Course: No

Lecture Hours: 55
Lab Hours: 0
Worksite/Clinical Hours: 0
Other Hours (LIA/Internships): 0

Course Description: Learn how to navigate the analytics project lifecycle with essential skills in project management. Traditional and modern project management approaches are introduced, with a focus on Agile methodologies. Gain proficiency in conducting stakeholder interviews, defining comprehensive project requirements, and managing projects with a structured development process.

Prerequisite: DATA 101 with a C or higher; or Dept. Chair permission.
Meets FQE Requirement: No
Integrative Experience Requirement: No

Student Learning Outcomes

Explain the steps of the analytics project lifecycle.
Conduct business interviews to define comprehensive project requirements.
Compare traditional and modern project management approaches for data scenarios.
Leverage key agile practices in the execution of a project.

Course Contents

Agile project management.
Lifecycle for reporting and analytics projects.
Project requirements.
Stakeholder interviews.

Instructional Units: 5