 Название: Data Science 2020: Learn How to Optimize Your Business Using Data Analytics and Machine Learning, 2nd Edition
Автор: Bill Hanson
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 186
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB
Data Science 2020 can help you go from novice to expert in no time at all.
To keep up with this growing industry, one has to know all the ins and outs, be able to keep up with the fast-moving innovations, and really understand all the nuances of this field.
Python is a multi-worldview programming language: a kind of Swiss Army blade for the coding scene. It supports object-situated programming, organized programming, and utilitarian programming designs, among others. There's a joke in the Python people group that "Python is commonly the second-best language for everything."
In any case, this is no thump in associations looked with a confounding multiplication of "best of breed" arrangements which rapidly render their codebases contradictory and unmaintainable. Python can deal with each activity from data mining to site construction to running implanted frameworks, across the board brought together language.
If you’ve ever wanted to get a leg up in this competitive field, make yourself more marketable or vital to businesses, and or have a vested interest in learning all there is to know about data science, this comprehensive guide will walk you through the process from beginning to end and will provide all the guidance you need to jump into this industry, hone your existing skills, or fill any gaps in your current knowledge.
In this book, you will not only learn what data science is but you will learn all the variables included with it and will discover:
How you can use that information to analyze data analytics for companies big and small
How to strengthen your business marketing for maximum results
Why Python is a crucial element to master
How to shore up data security
And so much more!
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Data Science 2020: Learn How to Optimize Your Business Using Data Analytics and Machine Learning, 2nd Edition 