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 numbersCOURSE 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
