DATA 3109 - Introduction to Data Analytics and Mining

Credits: 3

The aim of this hands-on course is to allow students to understand the foundational skills in data analytics, including but not limited to: preparing and working with real-world data sets. Abstracting and modeling an analytic question; and using tools from statistics and data mining to address these questions. Students will study the entire data analysis process, from raw data mining to address these questions. Students will study the entire data analysis process, from raw data to a deeper understanding of the patterns and structures within the data, and utilize techniques that enable one to make predictions and data-informed decisions. At the end of the course, students should feel comfortable using basic data mining techniques to answer questions about data using a statistical software packages such as SAS Enterprise Miner, R. Tableau, and Microsoft Excel.

Prerequisite(s): MATH 1113 and CILS 1130/CISM 1130/CSCI 1130 and BUSA 2182 or SOCI 2101 or MATH 1401
Equivalent
CISM 3109 CILS 3109