Description
Data Processing, Analysis, and Visualization
This course studies the concepts, methods, and tools required to infer meaningful information and generate useful visualizations from large data sets.

Prerequisite: STAT 103; CPST 291 with C- or better; Restricted to students enrolled in the School of Continuing and Professional Studies.

Outcomes: Implement scripting to convert raw data to structured data. Visualize and analyze structured data using appropriate statistical data mining and visualization tools. Analyze distributed computing frameworks for processing large data sets.
Details
Grading Basis
Graded
Units
3
Component
Laboratory - Required
Offering
Course
CPST 325
Academic Group
Sch of Cont/Prof Studies
Academic Organization
Schl of Cont/Prof Studies
Enrollment Requirements
Prerequisites: STAT 103; CPST 291 with C- or better . Restricted to students enrolled in the School of Continuing and Professional Studies.