The Essential Guide on Data Science: A Complete Beginner's Guide to Learn Data Science and Data Analysis from Scratch with Step-by-Step Exercises

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ISBN 10: 1801779465 / ISBN 13: 9781801779463

Published by Andrew Park

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Crease on cover*. Seller Inventory # mon0000677644

Bibliographic Details

Title: The Essential Guide on Data Science: A ...

Publisher: Andrew Park

Binding: paperback

Condition: Very Good

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Synopsis:

55% OFF for Bookstores! NOW at $ 33,97 instead of $ 43.97!Are you interested in knowing more about the fascinating world of Data Science?Your Customers Will Love This Amazing Step-By-Step Guide!This book offers you the fundamental knowledge you need to get started, but keep in mind that no book or even teacher can do everything for you. You need to work hard by putting each building block in its place as you advance.Data Science is a massive field of study that requires years of learning and practice before you can master it. This shouldn't discourage you, however! Embrace it as a challenge that you can undertake in order to broaden your horizons and improve your knowledge of all that is Data Science and machine learning.Data Science is a highly complex topic that has continuously been developed for decades. It is constantly evolving, and it can be challenging to keep up with all the past, present, and future concepts. With that being said, this isn't supposed to discourage you from pursuing this field.To start out this guidebook, we are going to take a look at what Data Science is all about, why it is important, and why we would want to work with this process in the first place as well. We will then take some time in order to learn the lifecycle of Data Science, and how we need to go through a series of steps like the finding the right data, preparing the data, coming up with the right model, and more. All of this and more will be discussed in this guidebook so that you can go from start to finish with your own Data Science project.This is just the start of some of the amazing things that we are able to do when it is time to start on Data Science.