返回到 Predictive Modeling with Logistic Regression using SAS

学生对 SAS 提供的 Predictive Modeling with Logistic Regression using SAS 的评价和反馈

4.6

星

63 个评分

课程概述

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....

1 - Predictive Modeling with Logistic Regression using SAS 的 12 个评论（共 12 个）

创建者 K

•

Oct 26, 2022

This course was far more confusing than the other courses in this specialization. Part of the confusion, for me, stems from the fact that there was rarely any generic syntax provided. The other SAS courses I've taken provided generic syntax and explained various statements and options so that when I take notes and apply these procedures to other problems and other data sets it is relatively easy to make the connections. In this course the only syntax was in the demos and was already applied to the problem used throughout the course, leaving me to have to figure out why certain (macro)variables or data sets or values were being used in a procedure. I will have to go through all of the content of this course a second time to retain a lot of the information.

创建者 Suhaimi C

•

Sep 28, 2021

Awesome course about the predictive modeling with logistic regression using SAS. The instructor is fantastic teaching us from the ground up step by step with excellent explanations. The coding was also built from beginning to the end with easy flow. Highly recommend taking this class for anyone who would like to advance their predictive modeling with logistic regression using SAS.

创建者 Vipul P

•

May 16, 2021

This is a great course. Most of the commonly occuring problems in real-life situations have been dealt with in great details. Would heartily recommend this course to anyone familiar with SAS, and wishing to learn predictive modeling. A note of caution: The content is heavy and going may seem difficult and you may want to revisit the lectures more than twice.

创建者 Hamid F

•

Jul 12, 2022

I believe the course was advanced. Although, it was very good prepared, can be splited to two courses. Further , I recommend that the course "Doing More with SAS Programming" would be a prerequisite fo this course.

创建者 Deleted A

•

Jul 29, 2021

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.

创建者 Mia C

•

Dec 30, 2022

Very completed and deep knowledge shared with very friendly ways, explained the knowledge very clearly. Also the practices help me to understand the knowledge better.