GEOG 594 - Big Data Science and Analytics Platforms

Units: 3

Grading Method: LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC

Same As: BDA 594.

Prerequisite(s): GEOG 104, CS 100 or CS 150 and CS 150L; and GEOG 385, SOC 201, STAT 250, or graduate standing.

Big data science to include analysis, data collection, filtering, GIS, machine learning, processing, text analysis, and visualization. Computational platforms, skills, and tools for conducting big data analytics with real world case studies and examples.

Maximum Credits: 9