Data Science: Mindset, Methodologies & Misconceptions

Author:   Dr Zacharias Voulgaris, Ph.D.
Publisher:   Technics Publications LLC
ISBN:  

9781634622561


Pages:   300
Publication Date:   15 August 2017
Format:   Paperback
Availability:   Available To Order   Availability explained
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Data Science: Mindset, Methodologies & Misconceptions


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Overview

Master the concepts and strategies underlying success and progress in data science. From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science. The first area is the data science pipeline including methodologies and the data scientists toolbox. The second are essential practices needed in understanding the data including questions and hypotheses. The third are pitfalls to avoid in the data science process. The fourth is an awareness of future trends and how modern technologies like Artificial Intelligence (AI) fit into the data science framework. Targeted towards data science learners of all levels, this book aims to help the reader go beyond data science techniques and obtain a more holistic and deeper understanding of what data science entails. With a focus on the problems data science tries to solve, this book challenges the reader to become a self-sufficient player in the field.

Full Product Details

Author:   Dr Zacharias Voulgaris, Ph.D.
Publisher:   Technics Publications LLC
Imprint:   Technics Publications LLC
Weight:   0.406kg
ISBN:  

9781634622561


ISBN 10:   1634622561
Pages:   300
Publication Date:   15 August 2017
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

What is Data Science?; The Data Science Pipeline; Data Science Methodologies; The Data Scientists Toolbox; Questions to Ask & the Hypotheses They Are Based On; Data Science Experiments & Evaluation of Their Results; Sensitivity Analysis of Experiment Conclusions; Programming Bugs; Mistakes Through the Data Science Process; Dealing with Bugs & Mistakes Effectively & Efficiently; The Role of Heuristics in Data Science; The Role of AI in Data Science; Data Science Ethics; Future Trends & How to Remain Relevant.

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Author Information

Dr. Zacharias Voulgaris was born in Athens, Greece. He studied Production Engineering and Management at the Technical University of Crete, shifted to Computer Science through a Masters in Information Systems & Technology, and then to Data Science through a PhD on machine learning. He has worked at Georgia Tech as a Research Fellow, at an e-marketing startup in Cyprus as an SEO manager, and as a Data Scientist in both Elavon (GA) and G2 Web Services (WA). He also was a Program Manager at Microsoft, on a data analytics pipeline for Bing. Zacharias has authored several books on Data Science, mentors aspiring data scientists through Thinkful, and maintains a Data Science / AI blog.

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