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This course is an introduction to least squares from a linear algebraic and mathematical perspective.
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 course is an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and...
This course introduces participants from the health care sector to gender based violence (GBV), including global epidemiology of GBV, health outcomes, seminal research, policy...
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 class will cover an introduction to command line tools for managing genomic data. It will start with basic Unix commands for managing files and directories, followed by a...
This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
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 online course gives an overview of artificial intelligence processing approaches to breast cancer detection.
This online course illustrates the principles of public health applied to depressive disorder, including principles of epidemiology, transcultural psychiatry, health services...
This online course explores the opioid epidemic in the United States and possible solutions.
This online course explores the use of evidence-based medicine in toxicology.
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 (MOOC) gives an introduction to the biology of prostate cancer as well as how it is identified and treated at various stages of the disease.
This course presents the fundamental probability and statistical concepts used in elementary data analysis.
This online course is intended for people who will plan, implement, and/or evaluate training programs for community health workers.
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 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 course teaches how to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from...
This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...
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