• Online, Self-Paced

Analyst 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.

Learning Objectives

Introducing Model Life Cycle Management

  • start the course
  • 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

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • All-Source Analysis
  • Data Administration
  • Systems Analysis

Specialty Areas have been removed from the NICE Framework. With the recent release of the new NICE Framework data, updates to courses are underway. Until this course can be updated, this historical information is provided to give better context as to how it can help you with your cybersecurity goals.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.