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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 basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...
This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able...
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 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 focuses on data science in real life. It will contrast the ideal with what happens in real life. By contrasting the ideal, students will learn key concepts that will...
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