Hacking - Python Data Science: How to Learn Step by Step Programming, Data Analytics, and Coding Essentials Tools
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Without any trace of doubt, machine learning andPythonare two of the most exciting and interesting fields of study at the moment.There are a lot of reasons to fear the advent of the AI era as well starting with the fact that it comes with serious ethical implications and ending with the fact that nobody can tell you just how far AI will go and how, sentient it will become.The book at hand will not aim to be a manual in Python or programming in general but an incursion into the realm of these subjects, a short trip to make you curious about what Python and Data Analysis are all about, why they are used in association, and even how they are used, at times.I know you will take the information presented here and use it to the best of your abilities, helping yourself create the future you want for your children, nephews, or simply neighbors.In this book you will learn:How to improve productivity and efficiency with Python. How to use Python and how to analyze SEO data. The importance of Data Science. Why data Analysis is so important and the OOP model. How to control the flow of program with loops Machine Learning and coding basics. And much moreIf you are ready to embrace Python even as a complete beginner, you are a daring soul who deserves to be part of the amazing future were building in this industry.If you are ready to embrace deep learning not just as a mere user, but as a programmer lying behind the inner works of these neural networks, you are a true pioneer in the grand scheme of things.Hopefully, this book will instill all these sentiments in you and it will make you ask all the important questions too.Whats next?Get down and dirty with Python, learn its basics, and start coding. Just like riding a bike, writing programs for machine learning cannot happen without those first awkward steps - so stay optimistic, erase, try again, erase again, and then try once more.Click the BUY button and download the book now to start learning Python.The future is at your fingertips. Use it wisely!
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Jr A J Henley
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Python Data Science
How to learn Step By Step Programming, Data Analytics, and Coding Essentials Tools. Beginners Guide
Tony Hacking
Copyright 2019 by Tony Hacking All rights reserved.
No part of this guide may be reproduced in any form without permission in writing from the publisher except in the case of brief quotations embodied in critical articles or reviews.
Legal & Disclaimer
The information contained in this book and its contents is not designed to replace or take the place of any form of medical or professional advice; and is not meant to replace the need for independent medical, financial, legal or other professional advice or services, as may be required. The content and information in this book has been provided for educational and entertainment purposes only.
The content and information contained in this book has been compiled from sources deemed reliable, and it is accurate to the best of the Author's knowledge, information and belief. However, the Author cannot guarantee its accuracy and validity and cannot be held liable for any errors and/or omissions. Further, changes are periodically made to this book as and when needed. Where appropriate and/or necessary, you must consult a professional (including but not limited to your doctor, attorney, financial advisor or such other professional advisor) before using any of the suggested remedies, techniques, or information in this book.
Upon using the contents and information contained in this book, you agree to hold harmless the Author from and against any damages, costs, and expenses, including any legal fees potentially resulting from the application of any of the information provided by this book. This disclaimer applies to any loss, damages or injury caused by the use and application, whether directly or indirectly, of any advice or information presented, whether for breach of contract, tort, negligence, personal injury, criminal intent, or under any other cause of action.
You agree to accept all risks of using the information presented inside this book.
You agree that by continuing to read this book, where appropriate and/or necessary, you shall consult a professional (including but not limited to your doctor, attorney, or financial advisor or such other advisor as needed) before using any of the suggested remedies, techniques, or information in this book.
Introduction
Congratulations on purchasing Python Data Science and thank you for doing so.
The following chapters will discuss all of the steps that we need to know when it comes to working with data science along with the Python language. There are a lot of great parts that come with using Python on your data science project, and when we are able to combine these two topics, it becomes so much easier to handle our data, form a good analysis with it, and see some of the results that we want in the process. This guidebook is going to explain how we are able to get all of this done.
This guidebook will start off by taking a look at what data science is all about. There are a lot of companies throughout many industries that are already working with data science because they see the enormous value that they are able to receive from this kind of process. We will take a look at some of the steps that come with the data science lifecycle and how companies are able to benefit from implementing it for themselves.
From here, we are going to move on and take a look at what the Python coding language is all about. Python is just one of the languages that we can work with on data science, but because of the ease of use, and all of the great libraries and extensions that we are able to use with it, we can find that this is one of the best. We will take some time in this guidebook to look through what Python is about and how to download it on different operating systems, the basics of coding in Python, and the data types that work with the Python language.
Once we have taken some time to look through this information and see how we can make this work for our own needs, we are going to move on to look in more depth about how data science is able to provide us with some of the benefits that we need. We will look more at the process of data analysis, the importance of working with data visualization and so much more. And when we get to the end, we will even look at a practical example of how you can work with data science in a real-life example to make things work for your needs.
There is so much that we are able to do when it comes to working with data science and all of the information that comes in our data. Moreover, with the help of the Python coding language, we are able to learn how to make the right models and more to make all of this come together. When we are ready to learn more about Python data science and what it is able to do for us, make sure to check out this guidebook to get started.
With so many books made for this very subject, we are so happy you chose this one! We promise we made this book with the intention of making sure all information is as useful as enjoyable as much as we can. Happy reading!
Chapter 1: The Basics of Data Science
Data science is a role that is taking up a lot of space for many businesses. There is a wealth of information out there that they are able to use for their own advantage, but they just need to know where to gather it, and how to analyze all of that data for their own needs. Sometimes, this is going to be a process that takes a lot of time and effort and can be hard to keep up with and ensure that we are doing it in the right manner.
Data science is the process of gathering, organizing and cleaning, analyzing, and then visualizing data so that we can use that information to make smart business decisions. It is becoming more and more important to a lot of businesses, and it is likely that this will take over as one of the main forms of making big decisions in the future. With that in mind, lets take some time to look more in-depth at data science and how businesses are using it for their own needs.
Why Is Data Science So Important?
The first thing that we need to take a look at here is the idea of why data science is so important and helpful for our needs. In a traditional manner, and in the past, the data that businesses were supplied with would be structured and smaller in size. This would make it so much easier to go through the data and see what was there, and often the business intelligence tools were all that was needed to see what was available and what business decisions needed to be made.
However, the data that we are able to take a look at today is so much different. Unlike the traditional data systems, which was mostly structured, it is common for the data that companies collect today to be unstructured, or at the very least, semi-structured. This is going to make it more difficult to sort through and understand, and that is why the process of data science has expanded into what it is today.
The unstructured data that companies are collecting today is going to be produced from distinctive sources like text files, financial logs, multimedia forms, devices, and sensors. The straightforward business intelligence tools that were so popular in the past are not able to handle the job, and businesses are turning to more complex and advanced kinds of tools and algorithms to get some of the analysis done and to help with getting all of the meaningful information and insights out of that data.
But this is not the only reason why businesses are finding the process of data science to be so popular and helpful to what they are doing. Data science is able to help the company recognizes the definite requirements of their customers based on the actual data that is out there. Data science is able to help us handle some things like predictive analysis to figure out what is the most likely outcome of a decision. And it can help us figure out how to make the right decisions that will push our business into the future and beat out all of the competition that is out there.
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