DATA 422 - Advanced Data Science Methods and Ethics

Units: 4

A treatment of advanced topics in Data Science. Topics include: (i) Privacy and Ethics, (ii) Multivariate Statistics, (iii) Big Data and Cloud Computing and (iv) Deep Learning. The course will draw from numerous case studies and applications, with a practical rather than theoretical emphasis.
Division: Upper Division
Requisites: Prerequisites: DATA 322
Permission to enroll: No Special Consent Required
Grading mode: Optional Grade Basis
Weekly: Lecture 3 hrs. Activity 2 hrs.
Possible Instruction Mode(s): In Person

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