LEADER 03987nam 22005775 450 001 9910734343703321 005 20240521132010.0 024 7 $a10.1007/978-3-031-28674-2 035 $a(CKB)5670000000659488 035 $a(DE-He213)978-3-031-28674-2 035 $a(EXLCZ)995670000000659488 100 $a20230708d2023 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Fundamentals of People Analytics$b[electronic resource] $eWith Applications in R /$fby Craig Starbuck 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (XVI, 380 p. 1 illus.) 311 $a3-031-28673-1 327 $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. 330 $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. 606 $aStatistics 606 $aQuantitative research 606 $aPsychology, Industrial 606 $aStatistics 606 $aData Analysis and Big Data 606 $aWork and Organizational Psychology 606 $aRecursos humans$2thub 606 $aEstadística$2thub 606 $aModels matemàtics$2thub 606 $aInvestigació quantitativa$2thub 608 $aLlibres electrònics$2thub 615 0$aStatistics. 615 0$aQuantitative research. 615 0$aPsychology, Industrial. 615 14$aStatistics. 615 24$aData Analysis and Big Data. 615 24$aWork and Organizational Psychology. 615 7$aRecursos humans 615 7$aEstadística 615 7$aModels matemàtics 615 7$aInvestigació quantitativa 676 $a519.5 700 $aStarbuck$b Craig$4aut$4http://id.loc.gov/vocabulary/relators/aut$01428797 906 $aBOOK 912 $a9910734343703321 996 $aThe Fundamentals of People Analytics$93566113 997 $aUNINA