Welcome to the course!

HR Analytics: Exploring Employee Data in R

Ben Teusch

Human Resources (HR) Analytics Consultant

Introduction to HR analytics

  • also known as people analytics, workforce analytics, or talent analytics
  • a data-driven approach to managing people at work
HR Analytics: Exploring Employee Data in R

Tools for the course

HR Analytics: Exploring Employee Data in R

A general process for HR analytics

  • Identify the groups to compare
  • Calculate summary statistics about those groups
  • Plot or test the differences between those groups
HR Analytics: Exploring Employee Data in R

Identify the groups to compare

HR Analytics: Exploring Employee Data in R

Calculate summary statistics about each group

mean(finance$tenure)
mean(engineering$tenure)
4.81287

5.78693
max(engineering$overtime_hours_worked)
188
sum(finance$sick_days)
372
HR Analytics: Exploring Employee Data in R

Compare the differences statistically or visually

HR Analytics: Exploring Employee Data in R

Course overview

  • Chapter 1: Identifying the best recruiting source

  • Chapter 2: What is driving low employee engagement?

  • Chapter 3: Are new hires getting paid too much?

  • Chapter 4: Are performance ratings being given consistently?

  • Chapter 5: Improving employee safety with data

HR Analytics: Exploring Employee Data in R

Let's practice!

HR Analytics: Exploring Employee Data in R

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