Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data. With these courses, you will learn to confidently evaluate statistical models, simulate data, and draw conclusions from a wide variety of data sets.
Build the foundation you need to think statistically and to speak the language of your data.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract …
Lecturer at the California Institute of Technology
Data Scientist, University of Texas at Austin
Data Science Manager at Uber
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