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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 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 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 series of MOOCs covers R software development for building data science tools. It helps participants to learn modern software development practices to build tools that are...
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 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.
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...
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 online course is intended for people who will plan, implement, and/or evaluate training programs for community health workers.
This course is an introduction to least squares from a linear algebraic and mathematical perspective.
This online course teaches foundational knowledge in the care of persons with Alzheimer’s Disease and other neurocognitive disorders.
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...
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 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 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...
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 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 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 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 covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
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