University of Minnesota

This first of five courses introduces students to the social determinants of health, and provides an overview of the definitions and theoretical perspectives that will form the foundation of this specialization.

This third of five courses explores topics related to the social determinants of health and health care systems. This course will also focus on the relationship between the social determinants of health, mental health, substance abuse, and trauma.

This second of five courses focuses on how social determinants of health affects vulnerable populations. Focusing on four groups of vulnerable populations, students will examine how social determinants of health contribute to the poor health outcomes experienced by these populations.

This fourth of five courses examines the methodological approaches and research tools that inform our understanding of best practices in working with science teams, communities, and with data.

This fifth and final course is centered on planetary health as a fundamental health determinant. As we consider how the health of humans is dependent on the health of Earth’s natural systems, we will also explore how to apply futures thinking and foresight principles to planetary health initiatives. [...]

This course provides an overview of the basic principles and applications of acupressure for patient symptom management and self-care.

After completing the course, the student should be able to do the following: Associate lists of OWASP Top Ten Risks with major cloud cybersecurity risks. Apply appropriate cryptographic techniques to secure authentication mechanisms and cloud data. Identify the most effective strategies for resisting injection attacks, cross-site scripting attacks, and [...]

Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how to take the available data and pair that with the right mathematical model to [...]

Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesota’s Analytics for Decision Making specialization. This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in [...]

In this data-driven world, companies are often interested in knowing what is the "best" course of action, given the data. For example, manufacturers need to decide how many units of a product to produce given the estimated demand and raw material availability? Should they make all the products in-house [...]