In this course we focus on leveraging data analytics to analyze and predict employee learning needs effectively. Participants explore advanced techniques for collecting and interpreting learning data, using predictive analytics to anticipate future learning requirements, and making data-informed decisions to enhance L&D strategies.

Learning Objectives
  • Discover advanced methods for collecting and analyzing employee learning data.
  • Explore how predictive analytics can be used to forecast future learning needs.
  • Develop data-driven strategies to optimize L&D initiatives and improve learning outcomes.
Last updated/reviewed: September 18, 2024
Prerequisites
Course Complexity: Foundational
No advanced preparation or prerequisites are required for this course.
Education Provider Information
Company: Illumeo, Inc., 75 East Santa Clara St., Suite 1215, San Jose, CA 95113
Contact: For more information regarding this course, including complaint and cancellation policies, please contact our offices at (408) 400- 3993 or send an e-mail to .
Instructor for this course
  Course Overview
Course Syllabus
INTRODUCTION AND OVERVIEW
  Learning Objectives for Data-Driven L&D1:36
  Introduction7:20
  Collecting and Analyzing Employee Data11:40
  Forecasting Future Learning Needs8:20
  Optimizing L and D Initiatives12:54
  Summary and Review2:00
CONTINUOUS PLAY
  Data-Driven L&D: Analyzing and Predicting Employee Learning Needs43:50
SUPPORTING MATERIAL
  Slides: Data-Driven L&D: Analyzing and Predicting Employee Learning NeedsPDF
  Data-Driven L&D: Analyzing and Predicting Employee Learning Needs Glossary/ IndexPDF
REVIEW AND TEST
  REVIEW QUESTIONSquiz
 FINAL EXAMexam