Please be advised: the information contained on this page is a general overview of the course. As course information is subject to change from one semester to another, please check DukeHub for the most accurate and up-to-date information about EGRMGMT courses.
At a Glance
- Instructor(s): Luis Morales
- Semester(s) typically taught: Previously taught in Fall semesters (through 2020-2021 academic year); now taught in Spring semesters (beginning in 2021-2022 academic year)
- Last taught: Spring 2022
- Units: 3.0
- Grading scale: Graded (A-F)
- Required or elective for MEM degree? Elective
- If elective, applicable elective track(s): Customer Experience and Product Design, Data Analytics and Machine Learning
- Pre-requisites: n/a
- Recommended previous courses: n/a
Course Description/Synopsis (from DukeHub)
This class is designed to help students understand what it takes to improve customer experience using data. Emphasis is placed on the collection and use of real-time data for transforming customer experience. Key topics covered include the customer experience life cycle, data management and types, data collection infrastructure, use of metrics to create insights, using python for data science, creation of machine learning algorithms to predict customer impacting events and using data to support the customer success business model. Finally, the class provides exposure to current industry practices, case studies, a comprehensive final project and industry guest speakers.
Course Syllabus (Previous)
EGRMGMT 579.01 Syllabus, Spring 2022
A Word From the Faculty
Previous Course Evaluations
- None available at this time (not taught in Spring 2021 or Fall 2021)
