Share Description
In this course, you will :
- understand how a core set of data science topics are relevant and required to obtain a CAP credential in a timely manner
- Exam domains 5–7 are covered in this study guide.
- shares case studies that show how the CAP knowledge domain concepts work in practise
Syllabus :
1. Model Building
- Identifying model structures
- Running and evaluating models
- Calibrating models and data
- Integrating the models
- Documenting findings: ROC
- Communicating findings
2. Deployment
- Performing business validation of the model
- Developing a deployment plan
- Creating model requirements
- Monitoring and sustaining the model
- Understanding deployment approaches
- DMAIC and CRISP-DM
- Project management approaches
3. Model Life-Cycle Management
- Tracking model quality
- Recalibrating the model through validation
- Maintaining the model
- Supporting training activities
- Evaluating the business benefit of the model over time
4. Case Study
- Business intelligence
- Methodology selection
- Model building
- Deployment
- Model life cycle management
