English | 2020 | ISBN-13 : 979-8620921225 | 149 Pages | PDF, EPUB, AZW3 | 15.07 MB

Do you Want to learn more about Python Data Analysis ?

.. then read on.

Businesses, governments, and organizations all need data for some reason. Data today is an opportunity to understand their current situation and use it to prepare for the unknown. The techniques used in data analysis today are easily available to anyone to interpret the data and obtain relevant explanations.

Data Analysis requires a detailed understanding of the operation of the computers, peripherals, and software in question. The objective is to give the reader the knowledge necessary to familiarize themselves with the Python Language by orienting the problem to focus on the functioning of these objects. This book was written with the desire to be accessible to everyone and the conviction that a "democratization" of the understanding of the computer tool is now essential.

This book offers a detailed approach: it bs with an introduction to the Python Language and then presents how to use it to retrieve and manipulate the data produced by our computers. The authors thus deal with various themes rag from the inspection of the process RAM to the internal functioning of mainstream software or the extraction of web browser history.

Different tools are studied: from the most basic to the most recent technologies such as machine learning with scikit-learn and its ecosystem resulting from scientific computing.ompiles (if there is no updated bytecode on disk), and runs on the Python Virtual Machine.

With Python for Data Analysis, you'll learn step by step how to implement data analysis and procedures to extract data correctly.

In this you also will learning:

what's Data Analysis

Python For Data Analysis

Data Aggregation

Application Of Data Analytic today

Mathematics For data Analysis

Data Wrangling

Scipy, Numpy, Panda

While most books focus on advanced predictive models, this book bs to explain the basic concepts and how to correctly implement Data Analysis and Data Visualization, with practical examples and simple coding scripts.

This guide provides the necessary knowledge practically. You will learn the steps of Data Analysis, how to implement them in Python, and the most important applications in the real world.

Would you like to know more?

the eBook, Python For Data Analysis.

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