The Data Analytics of Diversity, Inclusion, and Well-being

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Serena Huang

42:01

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01 - Introduction

01 - The business case of diversity, inclusion, and well-being at work.mp4

00:45

02 - 1. The Measurement of Diversity

01 - How to measure representation.mp4

03:46

02 - How to measure hiring diversity.mp4

04:20

03 - How to measure promotion diversity.mp4

03:47

04 - How to measure attrition diversity.mp4

02:00

03 - 2. The Measurement of Inclusion

01 - Why should you measure inclusion.mp4

01:32

02 - How to gather data on inclusion.mp4

02:17

03 - How to quantify inclusion using surveys.mp4

03:57

04 - How to quantify inclusion with passive data.mp4

01:55

04 - 3. The Measurement of Employee Well-Being

01 - Why is employee well-being difficult to measure.mp4

01:45

02 - How to measure employee well-being.mp4

04:43

03 - How to meaningfully improve employee well-being.mp4

03:01

05 - 4. The Connection between DIBS and Well-Being

01 - What is the connection between DIBS and well-being.mp4

02:58

02 - How can organizations create a data-informed strategy.mp4

03:51

06 - Conclusion

01 - Next steps and additional resources.mp4

01:24

Description

Over the last few years across a wide variety of industries, organizations have started to pay closer attention to diversity and inclusion as well as employee well-being. But despite the many resources currently available on these topics, none leverage the power of data analytics, at least not in a practical way. And if you want to improve diversity, inclusion, and well-being in the workplace, you need numbers to quantify results. In this course, instructor Serena Huang covers the why and the how of improving diversity, inclusion, and well-being using data analytics. Learn how to measure diversity, inclusion, and well-being with demonstrable metrics so you can track outcomes and improvements over time. You’ll also learn about the connection between mental health and diversity and inclusion. Upon completing this course, you’ll have the know-how to measure progress toward attaining positive change across your entire organization.

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Data Science

Data Analysis

Serena Huang

Instructor's Courses

Dr. Serena Huang is a thought leader and professional keynote speaker in people analytics, HR technology, future of work, ethical AI, employee experience, and mental health. She brings deep analytics expertise and HR strategy experience spanning large multinationals including PayPal, GE, Kraft Heinz, Koch Industries, and Deloitte. Dr. Huang regularly guest lectures at top MBA programs including Kellogg, Wharton, and Haas. She is a LinkedIn Learning instructor of the newly released course “The Data Science of Using People Analytics” and a LinkedIn influencer in the highly-selective LinkedIn Creator Accelerator Program focused on Innovation and Technology. Her monthly newsletter “From Data to Action” already has thousands of subscribers and is repeated showcased as one of the “Best People Analytics Articles”. Featured in Profile Magazine as one of the Women in Tech Code Breakers, Dr. Huang is passionate about helping business leaders see data as an asset in large organizations and optimize talent decisions. DM her on LinkedIn to book her for speaking engagements in 2023. Get to know her by checking out her recent interviews on Profile Magazine, Tech Talks, People Matters, Women in AI podcast, Data Chief podcast, HR Leaders podcast and more. Specializations: Data analytics. Machine learning. Artificial intelligence. Management consulting. Business development. Change management. Cross-functional team leadership. Employee experience. Workplace Strategy. Statistical modeling. Forecasting. Demand planning. Location strategy. Data visualization. Storytelling. Program evaluation. Talent management. Mindfulness. Wellbeing. Industries: FinTech, CPG, Aviation & aerospace, Transportation, Energy, Manufacturing, Financial services, Food & beverages, Medical device, Pharma, Telecommunications

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.