MATH 8336 Introduction to Data Science

This course provides an 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 introductory 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