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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 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 online course is intended for people who will plan, implement, and/or evaluate training programs for community health workers.
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 focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more...
This online course focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.
This course is an introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization...
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 online course explores the use of evidence-based medicine in toxicology.
This online course explores the ethical and policy/governance issues that arise in the design, conduct and application of synthetic biology.
This online course gives an introduction to patient safety and quality improvement in healthcare (part 3 of 3).
This online course gives an introduction to Unix for learners who are new to programming and new to Unix-like operating systems like macOS and Linux distributions like Ubuntu.
This MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.
This course introduces methods to perform systematic reviews and meta-analysis of clinical trials. It will cover how to formulate an answerable research question, define...
This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
This course explains the basic principles for design of randomized clinical trials and how they should be reported. Participants will be introduced to terminology used in...
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 MOOC examines the community context of the changes needed to promote the public’s health.
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...
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