Advanced HR Analytics – Using Data Modelling to Improve Human Capital Performance
About this course
Course objectives
What you will learn:
1. Assess for Difference Between Means of Employee Groups using ANOVA
2. Predict Changes in HR Outcomes Using Multiple Regression Analysis
3. Apply Structural Equation Modelling to HR Data
Course description
This course allows you to become a data scientist for a day, where you will get your hands dirty on raw HR data, to wrangle, test and train models for HR decision making. You will be exposed to leading industry tools to perform advanced level HR Analytics.
Trainer Profile
Lee Gang
Lee Gang is the Co-Founder & CEO of ELGO Al, a tech startup which aims to empower businesses to harness the power of data science and Al.
With over a decade of experience in data science, Al, and business strategy, Lee Gang specializes in turning complex data into actionable insights and creating scalable Al solutions that drives business growth. His journey has been rooted in solving real-world problems, from optimizing healthcare systems to developing Al-driven HR talent management platforms.
He holds a Master of Science in Business Analytics from NUS and conducts HR Analytics training as an adjunct faculty in Nanyang Polytechnic.
Target audiences
HR professionals with skills for data analytics and modelling to tap on employee data resource to make higher ROI decisions.