MSBA 8125 - Principles of Data Analytics

This course addresses foundational and broad aspects of data use. Students will engage with the ethical dimensions of data science, including the ways we build models and algorithms to aid in our decisions. Data collection, quality, management, preparation, manipulation, sharing, ownership, and persistence all factor into an ethical framework.

Data quality is addressed as an ongoing operational and governance process, as well as within the context of massive volumes of data available today. Methods of finding and addressing data issues, including missing and erroneous values are discussed.

Credits: 4