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 which will need to be uncovered to make better decisions in the future. This book will help you learn more about how you can do this. Throughout the book, you will gather information about:
•What Data Science is
•The applications and uses of data science
•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 PythonThis 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.