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APPLYING ANALYTICS: A PRACTICAL INTRODUCTION

Information Science

Computing & Information Technology

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

Newcomers to quantitative analysis need practical guidance on how to analyze data in the real world yet most introductory books focus on lengthy derivations and justifications instead of practical techniques. Covering the technical and professional skills needed by analysts in the academic, private, and public sectors, Applying Analytics: A Practical Introduction systematically teaches novices how to apply algorithms to real data and how to recognize potential pitfalls. It offers one of the first textbooks for the emerging first course in analytics. The text concentrates on the interpretation, strengths, and weaknesses of analytical techniques, along with challenges encountered by analysts in their daily work. The author shares various lessons learned from applying analytics in the real world. He supplements the technical material with coverage of professional skills traditionally learned through experience, such as project management, analytic communication, and using analysis to inform decisions. Example data sets used in the text are available for download online so that readers can test their own analytic routines. Suitable for beginning analysts in the sciences, business, engineering, and government, this book provides an accessible, example-driven introduction to the emerging field of analytics. It shows how to interpret data and identify trends across a range of fields.

Applying Analytics: A Practical Introduction

Post Secondary Four Year

College Freshman

College Junior

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College Senior

Applying Analytics

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Dedication.
Contents.
Preface.
Acknowledgments.
Introduction.
1: Elements.
2: Lists.
3: Uncertainty and Error.
4: 1-Dimensional Data Sets.
5: Related Lists and 1-Dimensional Data Sets.
6: 2-Dimensional Data Sets.
7: Unstructured Data Sets.
8: Prescriptive Decision Analysis.
9: Project Management.
10: Communicating Analytic Findings.
11: What to Do Next.
Bibliography.

Applying Analytics: A Practical Introduction.css-1p8rvzy{position:absolute;padding-left:8px;}

Applying Analytics: A Practical Introduction