Model Life Cycle Management
Predictive Analytics
7 Videos | 34m 54s - Includes Assessment
- Earns a Badge
Analysts must continuously manage analytical models, such as monitoring performance over time and interacting with various stakeholders. Explore the operational decision-making stages of model life cycle management.
WHAT YOU WILL LEARN
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identify key aspects for understanding the business problem and securing the right data
recognize best practices for creating and deploying the forecasting model
recognize the high-level activities and planning for model deployment
identify important aspects of stakeholder management -
recognize the best practices for training users and developing project documentation
recognize the importance of monitoring and recalibrating the forecasting model
recognize the importance of business validation and the various types of benchmarks to assess the forecasting model project
IN THIS COURSE
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1.Understanding Business Objectives and Data7m 13sUP NEXT
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2.Model Development and Deployment3m 20s
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3.Model Deployment Planning4m 22s
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4.Stakeholder Management5m 8s
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5.User Training and Model Documentation3m 44s
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6.Model Recalibration and Maintenance3m 3s
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7.Business Validation and Benchmarks4m 35s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
