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LOG 0600 Data Analytics Fundamentals for Product Support





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iCatalog Home LOG 0600 Data Analytics Fundamentals for Product Support
(Last Modified:01-Feb-2023)

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Description
Data Analytics Fundamentals for Product Support provides a knowledge base for Life Cycle Logisticians (LCLs) to understand how data analytics, predictive analytics, and artificial intelligence (AI) applications can optimize product support outcomes across the integrated product support elements. This online training (OLT) course will identify key data sources and predictive analytics/AI that are being utilized across the Services. Additionally, the course examines the types of questions and product support outcomes a LCL should investigate regarding predictive analytics/AI to assist the human decision-making process. With a grounding in the latest initiatives, best practices, and lessons learned from the various Services as well as current policy guidance and solutions from OSD a foundation is established for advancing the application of advanced data analytics in designing, developing and implementing product support.
Objectives
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Target Attendees
Acquisition and product support professionals, along with other members of the acquisition workforce and DOD personnel. The course is written with the assumption the learners possess little-to-no knowledge in advanced analytics, artificial intelligence or machine learning.
Prerequisite(s)
None
Predecessor Course(s)
Predecessor Predecessor Course Title PDS Code Expires On
None None None None
Course Length
Approximately 3 hours to complete
Additional Course Information
Delivery Mode Online Training
Equivalent Courses N/A
ACE Recommended Credits None
PDS Code H1N
Walk-ins Authorized N/A
Pre-work required No
First Offering 12/27/2022
Continuing Education Units   0
Continuous Learning Points  3
Reservist Retirement Points  1
Historical Allocations Mouse Over for Past CEU/CLPs
Fulfillment Eligible N/A
Technical Requirements Click Here
Notes
  • Any exams in this course must be passed with a minimum score of 80%.
  • There is no time limit for completing this course.
  • After completing the course, please be sure to complete the survey at the end.
  • The CLPs assigned to this learning activity may be used to meet professional certification and/or licensure requirements (PDUs/CPE credits).

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