HR analytics or people analytics is one of the fastest growing, most in-demand skill sets for human resource professionals today. This online course will introduce you to the concepts of how analytics can be applied to HR and talent management.
No previous experience or analytics skills are necessary.
In this course, you will learn the basics of measuring people at work, how to use the information available to make critical recommendations to senior leaders, and how to tell a compelling story using people data.
What you will learn:
- What HR analytics is and why it is important.
- How HR analytics is applied in organizations.
- What is the future of data and technology in HR.
- Basic analytics techniques: descriptive statistics, correlation, regression, ROI.
- How to communicate and present HR analytics to business professionals.
- HR data principles: data privacy and governance.
- How to use people analytics to create a positive employee experience.
- Careers in HR analytics: learn about how HR analytics is applied in human resources and related careers, and the skills you can use to be successful.
- Ability to understand spoken and written English.
- Basic understanding of Excel or other spreadsheets.
Heather Whiteman is a leader in talent management and people analytics. Heather recently held executive level positions leading teams in General Electric (GE). Heather’s passion and focus is on helping HR prepare to meet the challenges of the future of work and the digital talent transformation. Heather has a PhD in Human Capital Management and teaches Talent Management and People Analytics in the Haas School of Business at UC Berkeley.
On successful completion of the program, participants will:
- Understand how to analyze and develop analytics for measuring employee and organizational performance.
- Be able to interpret qualitative and quantitative human resources data information.
- Understand where and how data and analytics adds value to organizational programs, policies, and processes.
- Understand the different types and sources of human resources data.
- Be able to evaluate challenges related to the management of HR data.
- Communicate, clarify, and provide recommendations regarding HR analytics.
Duration: 5 weeks
Five synchronous meetings: Tuesday, 6:00 p.m. to 8:30 p.m.
Five asynchronous learning experiences: 1.5 hours/week.
From February 9 to March 12
Space is limited