This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.
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Compétences que vous acquerrez
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- 4 stars25,36 %
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- 2 stars3,67 %
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Meilleurs avis pour REGRESSION MODELING IN PRACTICE
Great but too much stock video footage of people smoking.
Great explanation of stat and useful coding examples.
I really like this training. It's good if you want a good view of applied regression.
I enjoy this course so far. I like how the course entirely depends on peer grading. It will help us to get some honest feedback on our research.
À propos du Spécialisation Analyse et interprétation de données
Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.
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