Description
This course will provide an overview of fundamental terms, concepts, tools, and techniques used to transform masses of data into meaningful information in order to support effective decision making. Students will learn about data warehouses, data marts, and data mining tools, and how to clean, flatten and summarize data. They will be introduced to structured and unstructured data. Following this course, students will demonstrate an understanding of the basic premises needed to structure data in an ethical way for effective data analysis, and they will exhibit an ability to use popular data visualization tools. Pre-requisites: CIS 166 and MATH 230.