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001472411 001__ 1472411
001472411 003__ OCoLC
001472411 005__ 20230908003410.0
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001472411 008__ 230713s2023\\\\sz\\\\\\ob\\\\001\0\eng\d
001472411 019__ $$a1393078516
001472411 020__ $$a9783031286742$$q(electronic bk.)
001472411 020__ $$a303128674X$$q(electronic bk.)
001472411 020__ $$z9783031286735
001472411 020__ $$z3031286766
001472411 020__ $$z9783031286766
001472411 020__ $$z3031286731
001472411 0247_ $$a10.1007/978-3-031-28674-2$$2doi
001472411 035__ $$aSP(OCoLC)1390203552
001472411 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX
001472411 049__ $$aISEA
001472411 050_4 $$aHD4904.7
001472411 08204 $$a658.3072/7$$223/eng/20230713
001472411 1001_ $$aStarbuck, Craig,$$eauthor.
001472411 24514 $$aThe fundamentals of people analytics :$$bwith applications in R /$$cCraig Starbuck.
001472411 264_1 $$aCham :$$bSpringer,$$c[2023]
001472411 264_4 $$c©2023
001472411 300__ $$a1 online resource (xvi, 380 pages)
001472411 336__ $$atext$$btxt$$2rdacontent
001472411 337__ $$acomputer$$bc$$2rdamedia
001472411 338__ $$aonline resource$$bcr$$2rdacarrier
001472411 504__ $$aIncludes bibliographical references and index.
001472411 5050_ $$a1. Getting Started -- 2. Introduction to R -- 3. Introduction to SQL -- 4. Research Design -- 5. Measurement & Sampling -- 6. Data Preparation -- 7. Descriptive Statistics -- 8. Statistical Inference -- 9. Analysis of Differences -- 10. Linear Regression -- 11. Linear Model Extensions -- 12. Logistic Regression -- 13. Predictive Modeling -- 14. Unsupervised Learning -- 15. Data Visualization -- 16. Data Storytelling.
001472411 5060_ $$aOpen access$$5GW5XE
001472411 520__ $$aHuman 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.
001472411 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 13, 2023).
001472411 650_0 $$aHuman capital$$xStatistical methods.
001472411 650_0 $$aHuman capital$$xMathematical models.
001472411 655_0 $$aElectronic books.
001472411 77608 $$iPrint version: $$z3031286766$$z9783031286766$$z3031286731$$z9783031286735$$w(OCoLC)1370925660
001472411 852__ $$bebk
001472411 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-031-28674-2$$zOnline Access$$91397441.2
001472411 909CO $$ooai:library.usi.edu:1472411$$pGLOBAL_SET
001472411 980__ $$aBIB
001472411 980__ $$aEBOOK
001472411 982__ $$aEbook
001472411 983__ $$aOnline
001472411 994__ $$a92$$bISE