The Fundamentals of People Analytics: With Applications in R

ISBN-13: 9783031286735 / Angielski

Craig Starbuck

Opis

This book consolidates key concepts spanning the entire analytics lifecycle, along with step-by-step instructions on how to apply them to real-world problems, using ubiquitous and freely available open-source statistical software (i.e., R). This book does not assume prior knowledge of statistics, how to query databases using SQL, or how to analyze data in R; early chapters include an introduction to R and SQL as well as 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; this book provides strategies to address unprecedented shifts in priorities on the heels of changes prompted by the COVID-19 pandemic (e.g., flexible work arrangements), a skill set that has not traditionally existed within the HR function.

This book prepares analytics professionals to effectively address contemporary challenges related to a company’s most important asset: human capital.

By the end of this book, the reader will understand R fundamentals, SQL query mechanics, descriptive and inferential statistics concepts, social science research methods and designs, statistical and ML modeling techniques and data visualization & storytelling best practices 

And the reader will be able to:
• Design and execute on analytics project plans
• Query and wrangle data using SQL
• Profile, clean, and analyze data using R
• Apply appropriate statistical tests to a range of problems in People Analytics
• Package and present analyses to communicate impactful insights to stakeholders

This is an open access book.

Spis treści

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.

O autorze

Craig Starbuck is a leading expert in people analytics, who has built and led successful people analytics teams at Roku, Robinhood, Mastercard, Equifax, and TD Ameritrade, after spending a decade in various data engineering and analytics positions in the banking and health care industries. He is the Co-Founder and Chief Data Scientist at OrgAcuity, a tech company with a mission to democratize access to people analytics, and a Member of the Society for Industrial and Organizational Psychology (SIOP).

Blurb

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. 

This 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.

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 

This is an open access book.

This comprehensive volume combines relevant people analytics examples, comprehensive treatment of statistical and analytical considerations and approaches, and useful sample code into a readable and relevant package. This is an essential guide for those in the People Analytics space looking to build their analytical capabilities.

- Alexis Fink, PhD, VP of People Analytics & Workforce Strategy @ Meta