Data Acquisition and Management

Graduate

This course examines processes, methods, and software tools used to acquire and manage business data. Students are introduced to common data modeling techniques and methods used to collect, integrate, clean, correct, transform, and consolidate data. Consideration is given to the treatment of internal business data, data collected using primary methods such as surveys, and data collected from secondary sources such as census data and public health data. Some attention is given to the processes used by organizations to manage information throughout its lifecycle. Best practices in information governance and important ethical and privacy issues related to the collection and management of data are also examined. Students are introduced to relational and nonrelational database management systems such as SQL Server, MySQL, PostgreSQL, and MongoDB and provided with foundational knowledge in the use of tools such as SQL and Python to acquire, store, update, and retrieve data.