Python for Data Analysis: A Practical Guide you Can't Miss to Master Data Using Python. Key Tools for Data Science, Introducing you into Data Manipulation, Data Visualization, Machine Learning

Erick Thompson

ISBN 10: 1801235147 / ISBN 13: 9781801235143

Published by Erick Thompson, 2020

About this Item

Hardcover. NO DUST JACKET. Pages clean and unmarked. Covers show very minor shelf wear. Binding tight, hinges strong. APPEARS UNREAD. ALMOST LIKE NEW.; 100% Satisfaction Guaranteed! Ships same or next business day! Seller Inventory # 142304120036

Bibliographic Details

Title: Python for Data Analysis: A Practical Guide ...

Publisher: Erick Thompson

Publication Date: 2020

Binding: Hardcover

Condition: Very Good

About this title

Synopsis:

Do you want to master data using python? If yes, then keep reading!

Data analysis plays a significant job in numerous parts of your regular day to day existence today. From the second you wake up, you cooperate with information at various levels. A great deal of significant choices are made dependent on information examination. None of the organizations would capacity and run effectively without individuals who realize how to utilize ace this incredible asset. Organizations use information to Understand Their Customer Needs and produce the Best Possible Product or Service.

Python Programming Language is one of the best framework with regards to information examination, and in the event that you are considering starting your own business some time or another or as of now have one, this is certainly a device you should comprehend and utilize.

Data Scientist is the most requested job of the 21st century and Python is the most popular programming language of the 21st century. The average salary of a Data Scientist is around 120 thousand dollars per year and the average salary of a Pythton Developer is around 100 thousand dollars. So it's pretty obvious that anyone have skills in both Data Science and Python will be in great demand in industry.

You needn't bother with an exhausting and costly reading material. This book is the best one for every readers.

This book covers:

- Introduction to Python and data analysis

- Python basics

- Python history

- Installing Python

- Data analysis with Python

- NumPy for numerical data processing

- Data visualization with Python

- Machine learning with Python

And much more!

Be it Data Processing, Data Analytics, Data Modeling, Data Visualization, Data Predictive, Machine Learning, or taking the photo of Blackhole: Python is everywhere and it is the most powerful programming language of 21st century. Beloved by the data scientists and new generation developers, Pyhton will eat the word!

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