What to read after Data Analytics With Python?

Data Analytics With Python

Data is the foundation of this digital age that we live in. With this book, you are going to learn how to organize and analyze data and how to interpret vast sources of information. This book covers various topics on data analytics such as data analytics applications, data analytics process, using Python for data analytics, Python libraries for data analytics and many other that will help you kick-start your data analytics journey from the very beginning.

In this book you are going to learn how to use Python its tools in order to interpret data and examine those interesting data trends and information, which are important in predicting the future. Whether you are dealing with some medical data, sales data, web page data, you can use Python in order to interpret data, analyze it and obtain this valuable information. You can also use this data for creating data analytics models and predictions.

Here Is A Brief Preview of What You’ll Learn In This Book…

-Data analytics applications

-Data analytics process

-How to install and run Python

-Python data structures and Python libraries

-Python conditional construct and iteration

-Data exploration using Pandas

-Pandas series and dataframes

-Data munging and distribution analysis

-Carrying out binary operations

-Data manipulation and categorical variable analysis

-How to build a predictive model

-And of course much, much more!

Get this book NOW and learn more about Data Analytics With Python!