Predictive Analytics for Talent Acquisition
Discover how companies use data to predict who to hire, when to hire, and how to hire smarter—with help from you!
Duration: 1 Day
Hours: 2 Hours
Training Level: All Levels
Batch One
Friday, August 22, 2025
12:00 PM - 02:00 PM (Eastern Time)
Batch Two
Friday, September 19, 2025
12:00 PM - 02:00 PM (Eastern Time)
Batch Three
Friday, October 17, 2025
12:00 PM - 02:00 PM (Eastern Time)
About the Course:
Ever wonder how some companies seem to know just the right time to hire, or exactly what kind of person will succeed in a job? That’s the power of predictive analytics. In this hands-on session, students will explore how data is used to forecast hiring needs, find strong candidates, and improve team performance. With fun exercises and easy-to-follow tools, you’ll learn how numbers can help HR teams make better choices and how you can use them, too!
Course Objective:
- Understand what predictive analytics means in simple terms
- Explore how data helps companies hire smarter
- Learn how to read basic talent data and trends
- Try simple tools to predict hiring outcomes
- Build a mini data-informed hiring plan
Who is the Target Audience?
- College or university students studying HR, business, psychology, or management
Basic Knowledge:
- Comfort using basic tools like Excel or Google Sheets is helpful, but not required.
Curriculum
Total Duration: 2 Hours
Introduction: Data + People = Smart Hiring
- Group Prompt: “What would you want to predict before hiring someone?”
- Overview of the session and real examples
What is Predictive Analytics?
- Simple definition and workplace examples
- Demo: A predictive tool for hiring or turnover
- Pair Activity: Match the metric (like retention or performance) with a business goal
Using Data to Improve Hiring
- Scenario: You’re hiring for a new role—what data would you use?
- Activity: Design your “data dashboard”
- Discussion: Data vs. gut instinct—what’s more accurate?
Ethics, Privacy & Transparency
- What data is okay to use? What crosses the line?
- Case Example: When a company predicted resignations, but didn’t tell employees
- Mini Debate: Should employees know how they’re scored?
Final Project: Build a Predictive Hiring Plan
- In small groups: create a simple hiring forecast for a fictional company
- Share and compare approaches
Wrap-Up
- Top 3 takeaways from data-driven hiring
- Tip Sheet: “How to Think Like a Predictive Analyst”