By the end of this course, learners will be able to identify, analyze, evaluate, and construct predictive models using SAS Enterprise Miner. They will gain hands-on skills in data preparation, variable selection, model building, performance evaluation, and deployment for real-world business applications.
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您将学到什么
Build and evaluate predictive models in SAS Miner.
Apply data prep, variable selection, and transformation.
Deploy and compare models for business applications.
您将获得的技能
- Data Transformation
- Predictive Analytics
- Application Deployment
- Performance Metric
- Statistical Modeling
- Regression Analysis
- Decision Tree Learning
- Data Modeling
- Data Mining
- SAS (Software)
- Machine Learning Methods
- Feature Engineering
- Business Analytics
- Statistical Analysis
- Process Flow Diagrams
- Data Cleansing
- Artificial Neural Networks
要了解的详细信息

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October 2025
19 项作业
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该课程共有5个模块
This module introduces learners to the SAS Enterprise Miner environment, focusing on navigating the interface, preparing datasets, and understanding the foundational steps required to begin predictive modeling.
涵盖的内容
7个视频3个作业
This module emphasizes data exploration and preparation, teaching learners to select variables, assess their statistical performance, and refine input predictors for stronger modeling accuracy.
涵盖的内容
13个视频4个作业
This module covers variable transformation techniques, ensemble modeling, and regression analysis while equipping learners with advanced tools for refining predictive accuracy and handling complex data structures.
涵盖的内容
12个视频4个作业
This module introduces decision tree construction and neural network modeling, focusing on visualization, interpretation, and comparison of advanced predictive techniques within SAS Enterprise Miner.
涵盖的内容
14个视频4个作业
This module focuses on evaluating predictive models through comparison metrics, regression with binary targets, and flow diagram design, preparing learners for real-world deployment of SAS models.
涵盖的内容
15个视频4个作业
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状态:免费试用University of Colorado Boulder
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