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This course is an introduction to least squares from a linear algebraic and mathematical perspective.
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 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 online course program explores the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate...
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 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 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 explores the ethical and policy/governance issues that arise in the design, conduct and application of synthetic biology.
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
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