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WSP 124 — An Introduction to People Analytics: How to Build a Talent Advantage

Quarter: Winter
Day(s): Tuesdays
Course Format: Live Online (About Formats)
Duration: 8 weeks
Date(s): Jan 26—Mar 16
Time: 5:00—6:30 pm (PT)
Drop Deadline: Jan 28
Unit: 1
Grade Restriction: No letter grade
Tuition: $540
Instructor(s): Amit Mohindra
Limit: 30
Status: Registration opens Nov 30, 8:30 am (PT)
Please Note: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Live Online(About Formats)
5:00—6:30 pm (PT)
Jan 26—Mar 16
8 weeks
Drop By
Jan 28
1 Unit
Grade Restriction
No letter grade
Amit Mohindra
Registration opens Nov 30, 8:30 am (PT)
Please Note: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
A company’s market value is largely driven by intangibles, mostly associated with people-related items under the purview of human resources departments. These include leadership, talent, performance, organizational design, learning and development, and inclusion and diversity. People analytics is a new and growing HR function that blends data science (data management, systems, statistics) and workforce science (industrial and organizational psychology, organizational effectiveness, labor economics) to deliver a competitive advantage through people. People analytics describes and quantifies this intangible value so that decisions about people—individuals, teams, and organizations—are data-driven. The right decisions on where to source talent, whom to hire and promote, which benefits to offer, which aspects of engagement to focus on, which skills to build or buy, and where to invest scarce HR budget resources can significantly impact business value and competitiveness. This course will equip students with fundamental people analytics frameworks, approaches, and tools to help them thrive in the world of big data, artificial intelligence, and the new world of work. We will cover how to assess needs, build a roadmap, and engage stakeholders. By the end of this course, students will be able to conduct people analytics projects, select the right metrics, tell a story with data, develop a business case for investment, and much more. Guest speakers—people analytics leaders and consultants from leading companies—will share their journeys, offer guidance, and answer your questions.

Amit Mohindra, CEO, People Analytics Success

Amit Mohindra advises, coaches, and educates organizations and individuals worldwide in people analytics. He has held leadership positions in people analytics at Apple, Goldman Sachs, IBM, Lucent Technologies, McKesson, and Wayfair. He has been a guest lecturer at UC Berkeley's Haas School of Business and Cornell’s School of Industrial & Labor Relations. Mohindra received an MA in economics from Brown and is a doctoral candidate in organizational change and leadership at USC.

Textbooks for this course:

(Recommended) Nigel Guenole, Jonathan Ferrar, Sheri Feinzig, The Power of People: Learn How Successful Organizations Use Workforce Analytics To Improve Business Performance, 1st Ed. (ISBN 978-0134546001)
(Recommended) Jenny Dearborn, David Swanson, The Data Driven Leader: A Powerful Approach to Delivering Measurable Business Impact Through People Analytics (ISBN 978-1119382201)