• Enrollment system is currently unavailable. We apologize for the inconvenience. Please try again later.

Fundamentals of People Analytics

Today, the human capital function in organizations has been recognized as delivering strategic value. Business leaders are requesting metrics and analytics to drive talent decisions. A recent analysis by PricewaterhouseCoopers (PwC), a consultancy, predicts that the strongest demand will be for business people with analytical skills, rather than just data analysts. As a result, the HR function is increasing in complexity to meet the dynamic demands of the business. Professionals in the field need to know how to apply analytic techniques and effectively communicate the results to inform the business. This course will lay out the foundational knowledge as a precursor to a robust analytics and technology program. Beginning with the fundamentals, students will identify human capital issues in the workplace and learn to apply metrics that can yield insights into the workforce. The pace of business change is increasing rapidly due to the advent of powerful technologies and cultural adaptations. It is no longer acceptable to be a technology laggard—it is essential to be ahead of the curve in order to stay competitive and succeed.

Registering at least three weeks prior to the course start date is highly recommended.

More details

You'll Walk Away with

  • Knowledge of the value of analytics to an organization and the ability to communicate it to all levels
  • The skills to perform critical analysis of data and relate it to HR outcomes
  • Familiarity with the structure and tools needed to practice analytics
  • Techniques to implement analytics effectively
  • The data visualization skills to raise the level of analytics by telling a story

Ideal for

  • Professionals interested in changing careers to enter the HR, analytics, or technology field
  • Aspiring or practicing HR professionals who do not have a background in analytics or technology

1 section

  • Spring 2024

    • Section

    • Semester

      Spring 2024
    • Date

      Apr 5 - Apr 20
    • Day

      F, Sa
    • Time

      • Online
    • Format

      • Online
    • Sessions

    • Location

      Instructor Led