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You can use this page to email Shefali Nayak about Big Data Analytics.
About the Book
The book is intended to give you a Data Scientist’s point of view and the thought process in the field of Big Data Analytics. At the end of this book, you should be able to define your journey on a Big Data Analytics project.
The book is designed to walk you through the various stages of a data analytics project, concepts and possible avenues when dealing with huge and overwhelming amounts of structured and unstructured data. It gives you a crisp and concise roadmap to building a project plan.
The book contains graphical representations and numerous examples to enable effective learning and understanding of the concepts. Also, leverages scenario examples to showcase where our understanding could falter and concepts could be applied inaccurately, to reinforce learning and fence the concept for caveats. This is your go-to book for understanding difficult concepts in Big Data Analytics in a lucid language.
Complimentary chapters included – Short description and distinguishing factors on the various Machine Learning Models, data visualizations and storyboarding techniques; in which scenarios they are most appropriate to be leveraged to empower you to make relevant decisions related to the analytics approach.
About the Author
The author, Shefali Nayak holds a Masters degree in Statistics with 10+ years of work experience in Management Consulting, Strategic Marketing, Credit and Operational Risk Management, Cards and Payments Strategy. All views, illustrations, examples expressed in the book are the author's own creation to make the concepts relatable and easy to understand.
As a data science professional the author specializes in statistical and machine learning modeling, data-driven decision making across various stages of the customer lifecycle, conceptualization and development of cross-sell initiatives, probability of default modeling, portfolio model monitoring, and strategy development for risk management.
The 3 books by the author: What Just Happened? - Descriptive Statistics, Sampling Techniques and Big Data Analytics are an easy gateway to the world of Data Science and explain the common concepts, terminologies in Statistics, ML, AI and Data Science in a very simple manner with real-world examples.