Book description
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.
Table of contents
- Front Cover (1/2)
- Front Cover (2/2)
- Contents (1/2)
- Contents (2/2)
- Preface
- Acknowledgments
- Chapter 1: Introduction (1/3)
- Chapter 1: Introduction (2/3)
- Chapter 1: Introduction (3/3)
- Chapter 2: Elements (1/4)
- Chapter 2: Elements (2/4)
- Chapter 2: Elements (3/4)
- Chapter 2: Elements (4/4)
- Chapter 3: Lists (1/6)
- Chapter 3: Lists (2/6)
- Chapter 3: Lists (3/6)
- Chapter 3: Lists (4/6)
- Chapter 3: Lists (5/6)
- Chapter 3: Lists (6/6)
- Chapter 4: Uncertainty and Error (1/4)
- Chapter 4: Uncertainty and Error (2/4)
- Chapter 4: Uncertainty and Error (3/4)
- Chapter 4: Uncertainty and Error (4/4)
- Chapter 5: 1-Dimensional Data Sets (1/10)
- Chapter 5: 1-Dimensional Data Sets (2/10)
- Chapter 5: 1-Dimensional Data Sets (3/10)
- Chapter 5: 1-Dimensional Data Sets (4/10)
- Chapter 5: 1-Dimensional Data Sets (5/10)
- Chapter 5: 1-Dimensional Data Sets (6/10)
- Chapter 5: 1-Dimensional Data Sets (7/10)
- Chapter 5: 1-Dimensional Data Sets (8/10)
- Chapter 5: 1-Dimensional Data Sets (9/10)
- Chapter 5: 1-Dimensional Data Sets (10/10)
- Chapter 6: Related Lists and 1-Dimensional Data Sets (1/5)
- Chapter 6: Related Lists and 1-Dimensional Data Sets (2/5)
- Chapter 6: Related Lists and 1-Dimensional Data Sets (3/5)
- Chapter 6: Related Lists and 1-Dimensional Data Sets (4/5)
- Chapter 6: Related Lists and 1-Dimensional Data Sets (5/5)
- Chapter 7: 2-Dimensional Data Sets (1/5)
- Chapter 7: 2-Dimensional Data Sets (2/5)
- Chapter 7: 2-Dimensional Data Sets (3/5)
- Chapter 7: 2-Dimensional Data Sets (4/5)
- Chapter 7: 2-Dimensional Data Sets (5/5)
- Chapter 8: Unstructured Data Sets (1/3)
- Chapter 8: Unstructured Data Sets (2/3)
- Chapter 8: Unstructured Data Sets (3/3)
- Chapter 9: Prescriptive Decision Analysis (1/6)
- Chapter 9: Prescriptive Decision Analysis (2/6)
- Chapter 9: Prescriptive Decision Analysis (3/6)
- Chapter 9: Prescriptive Decision Analysis (4/6)
- Chapter 9: Prescriptive Decision Analysis (5/6)
- Chapter 9: Prescriptive Decision Analysis (6/6)
- Chapter 10: Project Management (1/4)
- Chapter 10: Project Management (2/4)
- Chapter 10: Project Management (3/4)
- Chapter 10: Project Management (4/4)
- Chapter 11: Communicating Analytic Findings (1/4)
- Chapter 11: Communicating Analytic Findings (2/4)
- Chapter 11: Communicating Analytic Findings (3/4)
- Chapter 11: Communicating Analytic Findings (4/4)
- Chapter 12: What to Do Next
- Bibliography (1/2)
- Bibliography (2/2)
- Back Cover
Product information
- Title: Applying Analytics
- Author(s):
- Release date: June 2013
- Publisher(s): CRC Press
- ISBN: 9781466557192
You might also like
book
Trade-off Analytics
Presents information to create a trade-off analysis framework for use in government and commercial acquisition environments …
article
Reinventing the Organization for GenAI and LLMs
Previous technology breakthroughs did not upend organizational structure, but generative AI and LLMs will. We now …
article
Which Features Increase Customer Retention?
Companies must make important decisions about which features to include in the goods and services they …
article
Three Ways to Sell Value in B2B Markets
As customers face pressure to reduce costs while maintaining profitability, value-based selling (VBS) has become critical …