The Fundamentals of People Analytics
Springer International Publishing (Verlag)
978-3-031-28676-6 (ISBN)
Human capital is an organization's most important asset. Without the knowledge and skills of people, an organization can accomplish nothing. The acquisition, development, and retention of critical talent has become increasingly more complex and challenging, and organizations are making significant investments to gain a deeper, data-informed understanding of organizational phenomena impacting the bottom line.
By the end of this book, readers will be able to:
- Design and conduct empirical research
- Query and wrangle data using SQL
- Profile, clean, and analyze data using R
- Apply appropriate statistical and ML models to a range of people analytics use cases
- Package and present analyses to communicate impactful insights to stakeholders
Craig Starbuck is an analytics expert who has built and led several highly successful People Analytics teams. He spent nearly two decades in data and analytics roles at Aetna, U.S. Bank, TD Ameritrade, Equifax, Mastercard, and Robinhood. He is the Co-Founder and Chief Data Scientist at OrgAcuity, a People Analytics tech company with a mission to democratize access to data-driven talent decisions. Dr. Starbuck also teaches graduate-level Statistics and Analytics courses in the Finance and MBA programs at Lindenwood University.
1. Getting Started.- 2. Introduction to R.- 3. Introduction to SQL.- 4. Research Design.- 5. Measurement & Sampling.- 6. Data Preparation.- 7. Descriptive Statistics.- 8. Statistical Inference.- 9. Analysis of Differences.- 10. Linear Regression.- 11. Linear Model Extensions.- 12. Logistic Regression.- 13. Predictive Modeling.- 14. Unsupervised Learning.- 15. Data Visualization.- 16. Data Storytelling.
Erscheinungsdatum | 11.07.2023 |
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Zusatzinfo | XVI, 380 p. 255 illus., 250 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 605 g |
Themenwelt | Geisteswissenschaften ► Psychologie ► Arbeits- und Organisationspsychologie |
Mathematik / Informatik ► Informatik ► Datenbanken | |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | Data Science • open access • Organizational Research • People Analytics • People science • Statistics • talent analytics |
ISBN-10 | 3-031-28676-6 / 3031286766 |
ISBN-13 | 978-3-031-28676-6 / 9783031286766 |
Zustand | Neuware |
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