The Fundamentals of People Analytics

With Applications in R

Craig Starbuck (Autor)

Buch | Softcover

XVI, 380 Seiten

2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-28676-6 (ISBN)

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This open access book prepares current and aspiring analytics professionals to effectively address this need by curating key concepts spanning the entire analytics lifecycle, along with step-by-step instructions for their applications to real-world problems, using ubiquitous and freely available open-source software. This book does not assume prior knowledge of statistics, how to query databases, or how to write performant code; early chapters include an introduction to R and SQL as well as an overview of statistical foundations.

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
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