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Data-Driven Decision-Making in Multi-Disciplinary Teams Training

Improve decision-making in multi-disciplinary teams with "Data-Driven Decision-Making in Multi-Disciplinary Teams Training." Learn how to use data analytics to enhance team collaboration and engineering precision.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
T101
Course Prerequisites

None

Training Purpose
Functional Development
Management Development
Specific Audience
All
Delivery Method
Online, Self-Paced
  • Online, Self-Paced

Learning Objectives

  • Understand data-driven decision-making principles
  • Enhance collaboration using data analytics in engineering
  • Leverage AI-driven insights for strategic decision-making
  • Optimize project workflows through data integration
  • Analyze case studies on data-driven engineering decisions

    • 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):

    Feedback

    If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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