Course Descriptions and Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

MSDS 403-DL : Data Science in Practice


Description

This is a case study course that gives students an opportunity to solve business problems and apply core skills needed for technical and leadership roles in data science. The course provides an introduction to digital transformation, industry use cases, designing and measuring analytics projects, data considerations, data governance, digital trust and ethics, enterprise architecture and technology platforms, and organizational change management. Students act as data scientists, as strategists and leaders, evaluating alternative analytics projects and solving digital transformation challenges. Students learn how to apply a step-by-step development process, creating digital transformation roadmaps and addressing real-world business problems.

Prerequisites: None, but previous background in data science is assumed.


Spring 2021
Start/End DatesDay(s)TimeBuildingSection
03/29/21 - 06/06/21Optional Sync Tu
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Chulis, Kimberly
Online
Open

Spring 2021
Start/End DatesDay(s)TimeBuildingSection
03/29/21 - 06/06/21Optional Sync M
7 – 9:30 p.m. 56
InstructorCourse LocationStatusCAESAR Course ID
Bharadwaj, Shreenidhi
Online
Open

Summer 2021
Start/End DatesDay(s)TimeBuildingSection
06/21/21 - 08/28/21Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Chulis, Kimberly
Online
Open
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