Python for Data Analysis: Tutorial for Beginners (Unabridged‪)‬

Do you want to learn Python for data analysis using NumPy, Pandas, and IPython? 

You don't know how and where to begin? 

You don't need a boring and expensive textbook. This audiobook is the best one for every listener!

There are several reasons why it's ideal. The author has explored everything about Python for data analysis using Pandas, NumPy, Ipython and Matplotlib libraries from the basics. The book employs a simple language throughout. Many examples have been given, both theoretically and practically. The book includes details about program outputs.

The book is designed in a step-by-step format ideal for beginners. It will help you:


Understand why you should choose Python for data analysis tasks
Know the various data analysis libraries supported by Python and how to use them.
Know how to analyze your business data and draw meaningful insights for effective decision making.
Equip you with data analysis skills using Python programming language.
Know where data analysis is applied today and how to use it in your everyday life.


Who is this book suitable for?

The target audience for this book are:


Anybody who is a complete beginner to data analysis with Python or data analysis in general.
Anybody who wants to advance their data analysis skills with Python programming language.
Anybody who wants to know how to use data analysis for the benefit of their business or brand. 
Professionals in data science, computer programming, computer science.
Professors, lecturers, or tutors who are looking to find better ways to explain Python for data analysis to their students in the simplest and easiest way.
Students and academicians, especially those focusing on python programming, computer science, neural networks, machine learning, and deep learning. 


What do you need?

You are required to have these installed in your computer: 


Python 3.X
Numpy
Pandas
Matplotlib 


The author guides you on how to install and configure the rest of the Python libraries that are required for data analysis. 

What you'll find inside the book:


Why Python for Data Analysis?
Exploring the Libraries
Installation and Setup
Using IPython
Numpy Arrays and Vectorized Computation
Pandas Library
Data Wrangling
Data Visualization
Data Aggregation
Working with Time Series Data
Applications of Data Analysis Today 


The audiobook is all about data analysis with Python programming language using NumPy, Pandas, and IPython. It has been grouped into chapters, with each chapter exploring a different aspect of data analysis. The author has provided Python codes for doing different data analysis tasks. All these codes have been tested to ensure they are working correctly. Corresponding explanations have also been provided for each piece of code to help the listener understand the meaning of the various lines of the code. In addition to this, you will also be informed about the output that each code should return. 

The author has used a simple language to make it easy even for beginners to understand. The author begins by exploring the basic to the complex tasks in data analysis.