Gururajan Govindan - The Data Analysis Workshop: Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
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Learn how to analyze data using Python models with the help of real-world use cases and guidance from industry experts
Key Features- Get to grips with data analysis by studying use cases from different fields
- Develop your critical thinking skills by following tried-and-true data analysis
- Learn how to use conclusions from data analyses to make better business decisions
Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them and leverage the results to help transform your business.
The book begins by taking you through the use case of a bike rental shop. Youll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, youll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data.
By the end of the book, youll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst.
What you will learn- Get to grips with the fundamental concepts and conventions of data analysis
- Understand how different algorithms help you to analyze the data effectively
- Determine the variation between groups of data using hypothesis testing
- Visualize your data correctly using appropriate plotting points
- Use correlation techniques to uncover the relationship between variables
- Find hidden patterns in data using advanced techniques and strategies
The Data Analysis Workshop is for programmers who already know how to code in Python and want to use it to perform data analysis. If you are looking to gain practical experience in data science with Python, this book is for you.
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Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
Gururajan Govindan, Shubhangi Hora, and Konstantin Palagachev
Copyright 2020 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Authors: Gururajan Govindan, Shubhangi Hora, and Konstantin Palagachev
Reviewers: Brent Broadnax, John Wesley Doyle, Ashish Jain, Robert Thas John, Ravi Ranjan Prasad Karn, Ashish Patel, and Pritesh Tiwari
Managing Editor: Snehal Tambe
Acquisitions Editors: Manuraj Nair, Royluis Rodrigues, Kunal Sawant, Archie Vankar, and Karan Wadekar
Production Editor: Salma Patel
Editorial Board: Megan Carlisle, Samuel Christa, Mahesh Dhyani, Heather Gopsill, Manasa Kumar, Alex Mazonowicz, Monesh Mirpuri, Bridget Neale, Dominic Pereira, Shiny Poojary, Abhishek Rane, Brendan Rodrigues, Erol Staveley, Ankita Thakur, Nitesh Thakur, and Jonathan Wray
First published: July 2020
Production reference: 1280720
ISBN: 978-1-83921-138-6
Published by Packt Publishing Ltd.
Livery Place, 35 Livery Street
Birmingham B3 2PB, UK
Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them and leverage the results to help transform your business.
The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you'll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data.
By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst.
The Data Analysis Workshop is for programmers who already know how to code in Python and want to use it to perform data analysis. If you are looking to gain practical experience in data science with Python, this book is for you.
Chapter 1, Bike Sharing Analysis, teaches you how to analyze data from bike-sharing services and identify usage patterns, depending on time features and weather conditions.
Chapter 2, Absenteeism at Work, teaches you how to perform standard data analysis techniques, such as estimating conditional probabilities, Bayes' theorem, and the Kolmogorov-Smirnov test for distribution comparison.
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