NUS HRLP 6 – People Analytics: Methods and Metrics

According to a McKinsey article, today, the majority of large organizations have people analytics teams; 70 percent of company executives cite people analytics as a top priority, and there’s little argument that people analytics is a discipline that’s here to stay. According to an article by Visier, over the next decade, people analytics adoption will surge among companies with fewer than 3,000 employees, accelerate among line managers, and become increasingly urgent. This course sheds light on the important tools, techniques, metrics, and KPIs in people analytics. The course also provides an understanding of data and data analytics and how to make data driven decisions.
Private

Course Learning Objectives:

  • Learn the key tools, techniques, datasets involved in people analytics.
  • Understand the Measures, Metrics, and KPIs in people analytics.
  • Gain an understanding of data analysis using PandaShifu.
  • Learn the fundamentals of data-driven decision making
  • Understand the ways to conduct a People Analytics Maturity Model Assessment.

Faculty

Dr. Xiong Peng

Dr. Xiong Peng

Dr. Xiong Peng is a Senior Lecturer in the Department of Business Analytics and Operations at the National University of Singapore (NUS), where he brings a dynamic blend of academic insight and applied research expertise to the classroom and beyond. In addition to his teaching role, he holds a joint appointment as a Senior Research Fellow at the Institute of Operations Research and Analytics (IORA), one of NUS’s leading interdisciplinary research centres.

His work lies at the intersection of data-driven decision-making, operations research, and business analytics. With a passion for translating complex analytics into real-world impact, he collaborates closely with industry partners and research teams to develop innovative solutions for contemporary business challenges.

Dr. Xiong is deeply committed to nurturing future leaders in analytics and operations, and his teaching philosophy is rooted in bridging theory with practice. His dual appointments reflect a career dedicated to both rigorous research and transformative education.

Syllabus

Learning Objectives:
  • <TO BE UPDATED>
Module Components:

Faculty Videos:

  • Introduction to PandaShifu
  • PandaShifu Features
  • Data Filtering
  • Aggregation Operations
  • Exporting Results

Video Lectures:

  • What is People Analytics
  • Getting Started with Orange 01: Welcome to Orange
  • Getting Started with Orange 02: Data Workflows
  • Getting Started with Orange 03: Widgets and Channels
  • Getting Started with Orange 04: Loading Your Data
  • The beauty of data visualization – David McCandless
  • How to turn data into stories

Quiz:

  • Analytics and AI/ML Tools and Techniques – Quiz
Learning Objectives:
  • <TO BE UPDATED>
Module Components:

Faculty Videos:

  • Modelling with PandaShifu

Video Lectures:

  • Introduction to Predictive Analytics – Machine Learning Fundamentals
  • Logistic Regression
  • Receiver Operator Characteristic and the Area Under the Curve

Quiz:

  • Predictive Analytics: Employee Attrition Prediction – Quiz
Learning Objectives:
  • <TO BE UPDATED>
Module Components:

Video Lectures:

  • Decision and Classification Trees
  • Random Forests Part 1 – Building, Using and Evaluating
  • Random Forests Part 2: Missing data and clustering

Quiz:

  • Leveraging Classification Models in Business – Quiz

Support

Please email [email protected] for any support required with respect to the program, course or platform.