Enroll Course: https://www.coursera.org/learn/sas-predictive-modeling-using-logistic-regression
If you’re looking to enhance your predictive modeling skills, especially in the context of logistic regression, the Coursera course “Predictive Modeling with Logistic Regression using SAS” is a highly recommended resource. This course provides a detailed exploration of applying the LOGISTIC procedure within SAS/STAT software, focusing on real-world applications such as modeling individual behavior based on various input parameters.
The course is well-structured, beginning with foundational concepts of predictive modeling and gradually progressing to advanced topics like variable selection, recoding categorical variables, and model assessment techniques. Notably, the modules on preparing input variables address common challenges such as missing data, high-cardinality categorical predictors, and nonlinear relationships, which are crucial for building robust models.
One of the standout features is the hands-on approach with practical exercises, including scoring new cases and adjusting models for oversampling, equipping learners with actionable skills. The course also emphasizes evaluating model performance, maximizing profit, and selecting the best model among a family of options.
Whether you’re a data analyst, statistician, or a business analyst, this course offers valuable insights into predictive modeling strategies that can be directly applied to business scenarios. Additionally, the included practice exam prepares learners for SAS certification, making it a comprehensive package for those seeking professional recognition.
In conclusion, I highly recommend this course to anyone interested in mastering logistic regression using SAS. It’s a perfect blend of theoretical knowledge and practical skills, making complex concepts accessible and applicable.
Enroll Course: https://www.coursera.org/learn/sas-predictive-modeling-using-logistic-regression