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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 explores the use of evidence-based medicine in toxicology.
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 online course gives an overview of the accomplishments and promise of the public health field.
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 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 online course gives an introduction to the different types of healthcare systems and the systems engineering approach.
This online course illustrates the principles of public health applied to depressive disorder, including principles of epidemiology, transcultural psychiatry, health services...
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 online course (MOOC) explores Pre-Exposure Prophylaxis (PrEP) using the antiretroviral medication emtricitibine/tenofovir to reduce transmission of HIV.
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 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 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...
This online course series is intended for students looking to solidify their algebra and geometry necessary to be successful in future courses that will require precalculus and...
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 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 course covers how to program in R and how to use R for effective data analysis. Students will learn how to install and configure software necessary for a statistical...
This MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.
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