MDA 510 Introduction to Data

Fall/Spring/Summer

Students will be instructed in all forms of secondary and primary data. Data collection through automated or manual methods will be explained, including the considerations surrounding data ethics, sampling bias and sampling techniques. In conjunction with a brief primer on business strategy, students will also learn about performance metrics and metric design - as a source for operational data used in future analysis. Students will apply this knowledge as the collect and organize real-world data from a variety of sources, including online repositories and self-generated surveys. 3 credit hours