The Decision Maker's Handbook to Data Science : A Guide for Non-Technical Executives, Managers, and Founders / by Stylianos Kampakis.

Format:

Book

Author/Creator:

Kampakis, Stylianos, Author.

Language:

English

Subjects (All):

Data structures (Computer science).

Data mining.

Big data.

Data Structures and Information Theory.

Data Mining and Knowledge Discovery.

Big Data/Analytics.

Big Data.

Local Subjects:

Data Structures and Information Theory.

Data Mining and Knowledge Discovery.

Big Data/Analytics.

Big Data.

Physical Description:

1 online resource (154 pages)

Edition:

2nd ed. 2020.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2020.

System Details:

text file

Summary:

Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary—useful in the hands of business analysts, communications strategists, designers, and more. With the second edition of The Decision Maker’s Handbook to Data Science, you will learn how to think like a veteran data scientist and approach solutions to business problems in an entirely new way. Author Stylianos Kampakis provides you with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated and revised second edition, includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker’s Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide.

Contents:

Chapter 1: Demystifying Data Science and All the Other Buzzwords

Chapter 2: Data Management

Chapter 3: Data Collection Problems

Chapter 4: How to Keep Data Tidy

Chapter 5: Thinking like a Data Scientist (Without Being One)

Chapter 6: A Short Introduction to Statistics

Chapter 7: A Short Introduction to Machine Learning

Chapter 8: Problem Solving

Chapter 9: Pitfalls

Chapter 10: Hiring and Managing Data Scientists

Chapter 11: Building a Data-Science Culture

Chapter 12: Epilogue: Data Science Rules the World

Appendix A: Tools for Data Science

.

Notes:

Includes index.

Includes bibliographical references.

ISBN:

9781523150502

1523150505

9781484254943

1484254945

OCLC:

1140553193