Python Data Analytics: 3 Books in 1:The Beginner's Real-World Crash Course+A Hands-on Guide Beyond The Basics+The Expert’s Guide to Real-World Solutions

Your Ultimate guide to Data Analytics With Python

Big data is an exciting field but how does one even begin to work with the permutations of data that is generated? There are a number of visualization tools Python provides you with but how do you squeeze the best out of it?

Well, don't worry anymore! Python Data Analytics by author Travis Booth is going to walk you step by step through everything you need to know about this fascinating field. Whether you're a rank beginner or an expert looking for a challenging guide, this guide will have everything you need!

Filled with tips and tricks about data visualization and practical examples which will have you creating responsive plots and have you slicing and dicing data in a few days along with expert advice on how to best approach this challenging subject, this is one guide you do not want to miss!

Inside you will also learn all about:

• Data manipulation
• Python libraries for data analysis
• Using NumPy for statistical analysis
• Testing hypothesis using Python
• Data mining and building models

• Using SciPy to test hypotheses

and so much more!

Start your learning in data analytics right and join the thousands of coders who have discovered the power of Python to make big data work! Click buy now!