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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
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
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