Python Data Analytics: 3 books in 1 – The Ultimate Guide to Learn Python Data Analytics & Comprehensive Guide of Tips and Tricks & Advanced and Effective Strategies of Using Python Data Analytics

Introduction 1
PYTHON DATA ANALYTICS – The Ultimate Guide to Learn Python Data Analytics
Have you ever thought about data analytics? Are you looking for an excellent tool to use in your data analysis? Well, you have come to the right place. Python is one of the best tools that you can use for your data analysis for several reasons;
Flexibility & Ease of learning If you are trying something creative that no one has ever done before, then Python is the best way to go. It also ideal for any developer that is looking for a program that will allow them to script websites and applications. The best thing that I love about Python is its readability and simplicity, which goes a long way in boosting a gradual and relatively low learning curve.
It is open source This means that Python is an open-source program that also has built a valuable community-based model. It is designed to run on different OS ranging from Windows to Linux environments. The good thing with this language is that you can easily port it to a wide range of platforms.
It is well-supported Did you know that anything that could go wrong goes wrong? Think about it, if you are using something that you did not have to pay for, will you get the help that you need quickly? Well, the truth is a definite-NO!
Introduction 2
PYTHON DATA ANALYTICS – Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories

Have you always wondered what it is that you can do with the vast volumes of data that you have collected? Is there some way to make it easier to visualize the data to understand it better? If you answered yes to these questions, you have come to the right place.
Data can be collected from different sources and devices, and it is important to understand and analyze that data. The data collected has a lot of information that will need to be uncovered to make better decisions in the future. Before you look at the different types of data analytics, it is important that you understand what big data isThis book will help you learn more about how you can do this.
Throughout the book, you will gather information about:
•What is data, and the different forms of data
•An introduction to big data, big data analytics and data science
•An in-depth analysis and understanding of big data analytics
•The differences between big data, data science and data analytics
•An introduction to Python
•How to work with functions, strings and data structures
•Understanding data mining
•What data integration is
•How to work on predictive analytics
•Developing a simple linear regression, multiple regression, and classification algorithm in Python
This book will help you learn more about data analytics and what you can use it for. So, what are you waiting for? Grab a copy of this book to get started today.
Introduction 3
PYTHON DATA ANALYTICS – Advanced and Effective Strategies of Using Python Data Analytics
Does your business have large volumes of data that nobody knows how to use? Do you collect data from various sources to perform the analysis? Have you always wondered what you should do with incorrect data sets? If you answered yes, then you have come to the right place.
You will learn the different processes and steps you must take to analyze different types of data. In this book, you will learn more about:
•What is data analytics, and why is it important?
•The different types of data analytics
•The process
•Different algorithms used to perform data analytics
•Identifying different sources of data and mining the required information
•Preparing the data
•Visualizing the data
•An introduction to Python
•Using Python to clean and manipulate data
•Developing a simple predictive model in Python
You will learn all this and more in the book. So, what are you waiting for? Grab a copy of this book now.