[{"_1":2,"_46":-5,"_47":-5},"loaderData",{"_3":4,"_14":15,"_44":-5,"_45":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9,"_10":11},"user","shoppingCartId","toast","locale","en","constants",{"_12":13},"paypalClientId","AenrHU49peF-ZUH-Yq7AXLLNZYGUGlml474U16NCjB4ZznmQCEjiliN3whyuVZmkb7VxEzmTALgtKEKE","routes/_store+/_readers+/email_author.$slug/route",{"_16":17,"_43":-5},"book",{"_18":19,"_20":21,"_22":23,"_24":25,"_26":27,"_28":29},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNDQ1OTE","title","Big Data Analytics","state","published","contactAuthorMethod","email","aboutText","

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.

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