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This course presents the fundamental probability and statistical concepts used in elementary data analysis.

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 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 will provide a crash course in what data science and big data mean and how they play a role in successful organizations

This online course (MOOC) introduces the fundamentals of cancer biology, diagnosis, and treatment. Topics covered in the course are:Incidence and Etiology of CancerGenetics of...

This online course (MOOC) explores Pre-Exposure Prophylaxis (PrEP) using the antiretroviral medication emtricitibine/tenofovir to reduce transmission of HIV.

This MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.

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...

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 class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from...

This course is an introduction to least squares from a linear algebraic and mathematical perspective.