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Interpreting Data Using Statistical Models in R

This course introduces the most important methods and concepts from statistics with applications in the R programming language. We cover the fitting of statistical models to data, statistical testing, and prediction.

Fredrik Hallgren - Pluralsight course - Interpreting Data Using Statistical Models in R
by Fredrik Hallgren
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What you'll learn

We need principles, models, and theory to make sense of the vast amounts of data generated in today’s world. In this course, Interpreting Data Using Statistical Models in R, you will gain the ability to apply statistical and data science models to any task. First, you will learn how to fit statistical models to data. Next, you will discover how to test for relationships in data. Finally, you will explore how to create predictions with linear regression. When you are finished with this course, you will have the skills needed to turn data into knowledge.

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About the author

Fredrik Hallgren - Pluralsight course - Interpreting Data Using Statistical Models in R
Fredrik Hallgren

Fred is a PhD researcher in machine learning at UCL and formerly worked as a quantitative analyst at a hedge fund.

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