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This course is an introduction to least squares from a linear algebraic and mathematical perspective.
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical...
This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will also introduce a range of...
This course focuses on data science in real life. It will contrast the ideal with what happens in real life. By contrasting the ideal, students will learn key concepts that will...
This course covers the essential exploratory techniques for summarizing data. It will cover in detail the plotting systems in R as well as some of the basic principles of...
This is a focused course designed to rapidly get participants up to speed on doing data science in real life. It includes eg. describing possible pitfalls when pulling /...
This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able...
This course covers how to find the right people to fill out a data science team, how to organize them to give them the best chance to feel empowered and successful, and how to...
This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various...
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
This course explores why primary health care is central for achieving Health for All. It provides examples of how primary health care has been instrumental in approaching this...
This course teaches how to provide psychological first aid to people in an emergency by employing the RAPID model: Reflective listening, Assessment of needs, Prioritization,...
This course explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....
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