Data Science

Data Science
Author :
Publisher :
Total Pages : 156
Release :
ISBN-10 : 1713149796
ISBN-13 : 9781713149798
Rating : 4/5 (798 Downloads)

Book Synopsis Data Science by : Liam Damien

Download or read book Data Science written by Liam Damien and published by . This book was released on 2019-12-02 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science is rapidly expanding its horizons to places never thought possible. It can be quite difficult to keep up with the innovations, which take place every day. Are you new to the realms of data science? If you are, you will have to agree that it can be quite discouraging to even start when looking at the technical aspects of the discipline. Relax. With our help, we are positive that you will become an expert in no time. Are you looking to learn more about data science? Well, this book will be the perfect solution to cater for your cravings! With an in-depth study of data science and its various components, this book is made specifically with beginners in mind. Get to learn the basics of data science and how to gain practical experience with words and terms, which are broken down for easy understanding. Here are some of the things that you will learn from this book;A complete history of data science and why learning data science will be a great choice. The study of Linear Algebra and mathematics and how you can effectively apply it to data scienceThe study of python programming and how you can become an expert at itThe study of machine learning and how it is forever interwoven with data scienceData visualization and how it is fundamentally different from data miningThe various ways in which you can gain practical experience in data scienceThe book will also seek to ensure that you have the right foundation from data science to branch out into other fields.Data science is surely going to benefit you in the long run. This book will seek to show you the benefits of data science and the impacts and satisfaction that comes from setting out on the road to being a data scientist. We are positive you'll enjoy reading every chapter of it.


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