DATA692
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Real World Applications of Data Science and Analytics
Description
This course introduces students to end-to-end data science and analytics projects through applied case studies, emphasizing real-world implementation of artificial intelligence and other data-driven methodologies. By integrating applied methods with considerations of project management, communication, and professional skills, the course helps prepare students to design, manage, and deliver end-to-end data analytics projects.
Prerequisite(s): Admission to the Master of Data Science and Analytics and 24 units in 600-level Data Science courses.
Also known as: (formerly Data Science 691)
Prerequisite(s): Admission to the Master of Data Science and Analytics and 24 units in 600-level Data Science courses.
Also known as: (formerly Data Science 691)
Course Attributes
Fee Rate Group(Domestic) - H, Fee Rate Group(International) -G, GFC Hours (36 HOURS)
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LAB
Units
3
Repeat for Credit
No
Subject code
DATA