Measures and Metrics
Devising well-constructed strategies to measure the properties of key objects of interest, and then combining these measures into more abstract metrics that relate to research hypotheses or organization goals is an important component of data analysis. Measures and metrics are typically very specific to a domain or problem of interest, but case studies in one domain can provide ideas and best practices that are applicable to others. In this course, in addition to considering some of the fundamental concepts relating to these topics, learners are provided with several case studies of measures and metric development.
Category: Introduction to Data Science
Product Code: DAB-6
Course Duration (hours): 6