Online Graduate Certificate in Data Science in Context

An introduction to the principles and practices of effective data visualization as an essential skill for learning from data and for communicating with others, both within and outside of an organization. Students will combine principles from statistics, psychology, and computer science to design and create visualizations and use them to communicate with and about data to stakeholders and others. Prerequisites: Intro Programming.

An introduction to ethical frameworks and their applications in the context of data science. This course will help students reflect on the moral dimensions of the practice of data science in relation to what we believe, what we do, and what sorts of people we want to be. Ethical issues such as fairness, privacy, justice, transparency, and why we should try to be morally good will be considered both theoretically and practically (by applying them to issues that arise in the practice of data science and in contemporary social life more generally). Students will reflect on both historical and contemporary sources and consider what difference Christian faith makes to the theory and the practice of morality.

This course takes a practical approach to the fitting, assessment, interpretation, and presentation of statistical models, introducing students to a broad range of applied regression methods via case studies with real datasets. Topics include data preparation and visualization, the generalized linear model framework, and specific examples of frequently used models (such as multiple regression, regression for count and binary data, generalized additive models, and models to account for hierarchical structure or dependence).
Prerequisites: Intro Statistics.

An introduction to the principles of causal inference and statistical design. Students will learn principles that can guide the collection of data and the creation and interpretation of models. Prerequisites: DATA 545.

Healthy and successful organizations are structured in alignment with their strategy, have strong, values-based cultures, and are able to adapt to change. This course will enhance an understanding of life inside organizations through an interdisciplinary examination of common organizational practices such as organizational structure, culture differentiation and internal integration, culture typologies, as well as leadership attributes and styles. The course is designed to increase effectiveness in dealing with multiple aspects of organizational change—by understanding conditions that may require it, increasing awareness of multiple ways that organizations change, managing change, receiving and participating in it, and understanding approaches and responses to change.