Predictive Modeling with Logistic Regression using SAS

Übersicht

Delve into the world of predictive modeling with our comprehensive course on Logistic Regression using SAS, offered through Coursera. Tailored for professionals and students alike, this course extensively covers the application of SAS/STAT software, focusing particularly on the LOGISTIC procedure.

Participants will gain hands-on experience in selecting variables, managing interactions, recoding categorical variables by employing the smooth weight of evidence method, and enhancing model assessments.

Moreover, the course tackles the critical aspect of handling missing values and applying efficiency techniques suitable for analyzing vast data sets. Learn the art of using logistic regression to predict an individual's behavior based on known variables, create impactful effect plots and odds ratio plots, and address the challenges of multicollinearity within predictors.

Through this course, participants will also master the skills to evaluate model performance meticulously and compare various models effectively.

Whether you're aiming to excel in Data Analysis or Business Intelligence, this course is your gateway to advancing your skills in predictive modeling, making you a valuable asset in your academic or professional endeavors.

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Unterrichtet von

Michael J Patetta

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Fachgebiete