NUS HRLP 4 – 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.

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 Orange.
  • Learn the fundamentals of data-driven decision making
  • Understand the ways to conduct a People Analytics Maturity Model Assessment.

Faculty

Dr Guo Lei

Dr Guo Lei

Dr Guo is an active educator and researcher in data science, behavioural study and design thinking, with extensive experience in delivering practice-based learning programmes and applied research projects with successful results.

Starting her career in Singapore as a marketing practitioner, Dr Guo worked across manufacturing, entertainment and education industries. She was the Chief Representative in China for a Singapore listed company. She was also responsible for setting up Shanghai Office and promoting executive education programmes for NUS Business School in Greater China market.

With the aspiration of bridging the gap between research and practice, Dr Guo pursued her PhD in the UK, where she worked on large-scale research projects with Cambridge University Service Alliance, BAE Systems and China Mobile.

Dr Guo returned to Singapore and joined NUS as a faculty member in 2011. She has particular experience in tackling complex challenges through applied research and education. She was the Principal Investigator for a series of research projects to inform better public transport policy decisions. She consults corporate clients on data analytics, user experience design and service innovation. Dr Guo teaches executive programmes of Data Analytics and Design Thinking at NUS. She has a passion for engaging and inspiring working professionals at all levels by applying the theory to real world business applications.

Dr Guo holds a PhD in Marketing from University of Exeter, an MBA from University of Adelaide University and a BA in Literature from Beijing Normal University.

Syllabus

Learning Objectives:
  • Learn the key tools, techniques, datasets involved in people analytics.
Module Components:

Video Lectures:

  • People Analytics: Understanding People Through Data
  • Why Data Visualization Matters?
  • Tableau Basics for Beginners
  • Workshop 1 – Faculty Video

Readings:

  • Setting the Objectives Starting a People Analytics Function: 3 Building Blocks
  • Data Storytelling: The Essential Data Science Skill Everyone Needs

Quiz:

  • Tools, Techniques, and Datasets for People Analytics – Setting the Objectives – Quiz
Learning Objectives:
  • Understand the Measures, Metrics, and KPIs in people analytics.
  • Gain an understanding of data analysis using Orange.
Module Components:

Video Lectures:

  • Getting Started with Orange: Welcome to Orange
  • Data Workflows with Orange
  • Widgets and Channels with Orange
  • Loading Your Data with Orange
  • Making Predictions with Orange
  • Model Evaluation and Scoring with Orange
  • Workshop 2 – Faculty Video

Readings:

  • Machine Learning | An Introduction
  • Machine Learning Classifiers

Quiz:

  • Understanding Measures, Metrics, and KPIs – Quiz
Learning Objectives:
  • Gain an understanding of data analysis using Orange.
  • Learn the fundamentals of data-driven decision making
  • Understand the ways to conduct a People Analytics Maturity Model Assessment.
Module Components:

Video Lectures:

  • Text Preprocessing with Orange
  • Workshop 3 – Faculty Video

Readings:

  • How to conduct a People Analytics Maturity Model Assessment
  • Google Project Oxygen: How Google Sold Its Engineers on Management
  • Essential KPIs in People Analytics

Quiz:

  • Data-Driven Decision-making – Quiz

Support

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