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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 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 online course explains how cancer spreads or metastasizes. It describe the major theories of metastasis and then describes the biology behind the steps in metastasis. The...
This online course explores the use of evidence-based medicine in toxicology.
This online course provides the learner with the skills for creating new visualization building blocks. Learners will be able to build the tools needed to visualize a wide...
This online course gives an introduction to the basic principles of neuroimaging methods and the neuroscience concepts and terminology necessary for a basic understanding of...
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 covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well....
This course explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....
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 online course gives an introduction to least squares from a linear algebraic and mathematical perspective. The course is for students who already have had a class in...
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 online course first gives an introduction to SARS-CoV-2 (corona virus), including the infectious period, the clinical presentation of COVID-19, and the evidence for how...
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 focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.
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 provides an interdisciplinary and historical exploration of the BlackLivesMatter movement.
This online course gives an introduction to patient safety and quality improvement in healthcare (part 2 of 3).
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 explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
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