This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets. You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. You also learn to assess model performance and compare models.
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
- 5 stars
- 4 stars
- 2 stars
- 1 star
来自PREDICTIVE MODELING WITH LOGISTIC REGRESSION USING SAS 的热门评论
This was another great course from SAS and Coursera. I had no experience with predictive modelling prior to the course and learned quite a bit about modelling in the SAS environment.
Thank you so much to the instructor, Michael J Patetta for teaching this course!
Great training sets of problems. Good guidance & teaching.
关于 SAS 统计业务分析师 专业证书
This program is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes. If modeling data for business outcomes is relevant in your job role or industry, this certificate is a valuable indication of your proficiency.