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.
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课程信息
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第 3 门课程（共 3 门）
中级
完成时间大约为17 小时
英语（English）
字幕：英语（English）
您将获得的技能
OversamplingLogistic RegressionPredictive Modellingregression
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 3 门）
中级
完成时间大约为17 小时
英语（English）
字幕：英语（English）
提供方
SAS
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.
授课大纲 - 您将从这门课程中学到什么
完成时间为 1 小时
Course Overview and Logistics
完成时间为 1 小时
1 个视频 （总计 1 分钟）, 6 个阅读材料
完成时间为 2 小时
Understanding Predictive Modeling
In this module, you review the fundamentals of predictive modeling. Then you explore the business scenario data that is used throughout the course. Finally, you learn about common analytical challenges that you might encounter as a modeler.
完成时间为 2 小时
15 个视频 （总计 34 分钟）, 1 个阅读材料, 6 个测验
完成时间为 2 小时
Fitting the Model
In this module, you investigate the concepts behind the logistic regression model. Then you learn to use the LOGISTIC procedure to fit a logistic regression model. Finally, you learn how to score new cases and adjust the model for oversampling.
完成时间为 2 小时
18 个视频 （总计 54 分钟）, 1 个阅读材料, 4 个测验
完成时间为 3 小时
Preparing the Input Variables, Part 1
In this module, you learn how to deal with common problems with your predictor variables such as missing values, categorical predictors with many levels, a high number of redundant predictors, and nonlinear relationships with the response variable.
完成时间为 3 小时
26 个视频 （总计 76 分钟）
完成时间为 4 小时
Preparing the Input Variables, Part 2
In this module, you learn how to select the most predictive variables to use in your model.
完成时间为 4 小时
23 个视频 （总计 92 分钟）, 1 个阅读材料, 12 个测验
审阅
来自PREDICTIVE MODELING WITH LOGISTIC REGRESSION USING SAS 的热门评论
由 TW 提供Jul 28, 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.
由 RM 提供Jun 14, 2021
Thank you so much to the instructor, Michael J Patetta for teaching this course!
由 SS 提供Apr 10, 2021
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.
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