| Description |
1 online resource |
| Contents |
Front Cover; Contents; Preface; Acknowledgments; Chapter 1: Introduction; Chapter 2: Elements; Chapter 3: Lists; Chapter 4: Uncertainty and Error; Chapter 5: 1-Dimensional Data Sets; Chapter 6: Related Lists and 1-Dimensional Data Sets; Chapter 7: 2-Dimensional Data Sets; Chapter 8: Unstructured Data Sets; Chapter 9: Prescriptive Decision Analysis; Chapter 10: Project Management; Chapter 11: Communicating Analytic Findings; Chapter 12: What to Do Next; Bibliography; Back Cover |
| Summary |
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. The text concentrates on the interpretation, strengths, and weaknesses of analytical techniques, along with challenges encoun |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Quantitative research.
|
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Qualitative research.
|
|
Statistics.
|
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statistics.
|
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SCIENCE -- Research & Methodology.
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Qualitative research
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Quantitative research
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Statistics
|
| Form |
Electronic book
|
| ISBN |
129971112X |
|
9781299711129 |
|
9781466557192 |
|
1466557192 |
|
1466557184 |
|
9781466557185 |
|
