Data Analytics in Training & Development

COURSE OVERVIEW

This course will enable the participants to understand the nuances of Analytics and help one comprehend the need and purpose of Analytics in L&D. The course will also introduce the participants to various statistical concepts aiding analytics and the tools that can be used for analytics thus enabling them to manage by numbers

COURSE OBJECTIVES

  • Enabling the need for using data and purpose of analytics
  •  Understand the impact of Data in business with focus on L&D
  •  Enable decisioning based on analytics
  • Understand the impact of training through effective analysis

LEARNING OUTCOMES

  • Understand the Importance of Data in making decisions
  • Understand Need for Analytics and principle behind Analytics
  •  Apply various Types of Analytics per need– Descriptive, Diagnostic, Predictive and
    Prescriptive Analytics
  • Build an L&D dashboard identifying the metrics required for validating effectiveness

COURSE CONTENT

Module 1: Data & its importance

  • Why this hype for Data?
  • Data & Its impact – Reference to Industry 4.0 
  • Data Changing business priorities – enabling better business decisions
  • Challenges in using Data and ways and means to overcome them

Module 2: Introduction to Analytics

  • Big Data and concepts around Big data
  • What is Analytics?
  • Why Analytics?
  • Concepts and terminologies around analytics – BI, BA, Decision Support System, OLAP,
  • Purposeful Analytics – 8 step model for analytics

Module 3: Evolution of Analytics and its impact to Business – focus on L&D

• Evolution of Analytics
• Typical Analytical models
• Technology impact in L&D – enabling data collection and availability
• Using Data in L&D

Module 4: L&D Measures

Need to measure L&D
• What can be measured and how
• HR Metrics with focus on L&D Metrics
• Metrics ploughed back into system for improved L&D performance – Course design, Course introduction, Course assessment etc

Module 5: Data Analytics in L&D

•Design, Implementation and Measurement of L&D
• Analytics and its benefits in L&D
• L&D ROI
• Benefits of Evaluation
• Implementing L&D in your organization

Module 6: Tools for analytics

• Need for Tools in Analytics
• Statistical Tools for Analytics
• Excel and Data Analytics an Overview

Module 7:

Course revision/Discussion of question papers/Peer Learning

Mode/Inclusive Methods in classes: Flipped Classroom, Whiteboard, Case Study Discussions, Lectures/Demonstrations, Audio-Visuals, Role Play, Class Discussion/Interactivity, Class Quizzes, Practice and QnA

In addition, Faculty may adopt other methods as applicable

REFERENCE BOOKS:

  • Learning Analytics – John R Mattox, Mark Van Buren, Jean Martin
  • Measurement Demystified – Dave Vance, Peggy Parskey
  • Training and Development – Dr. B Janakiraman
  • Every Trainers Handbook – Devendra Agochiya
  • The Practical Guide to HR Analytics – Shonna D Waters