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This course is an introduction to least squares from a linear algebraic and mathematical perspective.
This course presents the fundamental probability and statistical concepts used in elementary data analysis.
This course discusses the basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.
This online course series gives an introduction to the strategies and tools required to implement effective patient safety and quality initiatives
This course provides an introduction to systems thinking and systems models in public health. Systems thinking is a core skill in public health and helps health policymakers...
This online course provides a brief introduction to the U.S. food system. It also includes key historical and political factors that have helped shape the current food system.
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 MOOC explores chemicals in the environment, how they get into our bodies (exposures), what they do when they get there (toxicology), how we measure them (biomonitoring) and...
This online course gives an introduction to patient safety and quality improvement in healthcare (part 2 of 3).
In this courses, students will learn what they need to know to begin assembling and leading a data science enterprise. It provides a crash course in data science to become...
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 online course gives an introduction to patient safety and quality improvement in healthcare (part 3 of 3).
This MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.
This online course explores the ethical and policy/governance issues that arise in the design, conduct and application of synthetic biology.
This online course explores the health behavior of individuals and how it can be encouraged by the behavior of families, social groups, communities, organizations, and policy...
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 online course prepares participants to work and live overseas. The course was created especially for participants who travel to low- and middle-income countries for...
This online course (MOOC) explores Pre-Exposure Prophylaxis (PrEP) using the antiretroviral medication emtricitibine/tenofovir to reduce transmission of HIV.
This online course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical...
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