COSC 430 Data Analytics

This course covers various contemporary techniques in data analytics, which encompasses a broad set of computational and statistical methods and tools needed to draw insights from the growing amounts of data. Overall topics include: data acquisition, scraping, cleaning, manipulation; predictive data analysis; exploratory data analysis; statistical modeling of data; and communication of results via data visualization. The course will include significant programming in Python, and will introduce the statistical programming language R.

Credits

3

Prerequisite

COSC 330, MATH 242, MATH 243

Corequisite

COSC 434

Offered

Fall Spring