MATH 8336 Advanced Data Science

This course provides an advanced overview of Data Science, covering a broad selection of key challenges in and methodologies for working with big data. Topics include data collection, integration, management, modeling, analysis, visualization, prediction, and informed decision-making, as well as data security and data privacy. This advanced course is integrative across the core disciplines of Data Science, including databases, data warehousing, statistics, data mining, data visualization, high-performance computing, cloud computing, and business intelligence.

Credits

3

Prerequisite

Consent of Instructor.

Schedule Type

Lecture

Grading Basis

Standard Letter (A-F)

Administrative Unit

School of Mathematical & Stat

Offered

As scheduled