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DATA691

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Integrated Topics in Data Science and Analytics

Faculty of Science SC - Faculty of Science

Subject

DATA - Data Science

Description

Provides a framework for students to initiate, perform and successfully complete a real-world project in Data Science and Analytics. This includes problem identification and formulation; discussion of legal, social, and ethical issues in data-driven projects; holistic processing and application of data; communication and data storytelling skills as well as leadership skills. In addition, students will be exposed to emerging topics in Data Science and Analytics.

Prerequisite(s): Admission to the Master of Data Science and Analytics and 24 units in 600-level Data Science courses.

Co-requisite(s): Data Science 693 or 695.

Course Attributes

Fee Rate Group(Domestic) - H, Fee Rate Group(International) -G, GFC Hours (3-0)

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

LEC

Units

6

Repeat for Credit

No

Subject code

DATA

Understanding Course Information

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