Robert Dempsey - Python Business Intelligence Cookbook
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Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions
About This Book- Want to minimize risk and optimize profits of your business? Learn to create efficient analytical reports with ease using this highly practical, easy-to-follow guide
- Learn to apply Python for business intelligence taskspreparing, exploring, analyzing, visualizing and reportingin order to make more informed business decisions using data at hand
- Learn to explore and analyze business data, and build business intelligence dashboards with the help of various insightful recipes
This book is intended for data analysts, managers, and executives with a basic knowledge of Python, who now want to use Python for their BI tasks. If you have a good knowledge and understanding of BI applications and have a working system in place, this book will enhance your toolbox.
What You Will Learn- Install Anaconda, MongoDB, and everything you need to get started with your data analysis
- Prepare data for analysis by querying cleaning and standardizing data
- Explore your data by creating a Pandas data frame from MongoDB
- Gain powerful insights, both statistical and predictive, to make informed business decisions
- Visualize your data by building dashboards and generating reports
- Create a complete data processing and business intelligence system
The amount of data produced by businesses and devices is going nowhere but up. In this scenario, the major advantage of Python is that its a general-purpose language and gives you a lot of flexibility in data structures. Python is an excellent tool for more specialized analysis tasks, and is powered with related libraries to process data streams, to visualize datasets, and to carry out scientific calculations. Using Python for business intelligence (BI) can help you solve tricky problems in one go.
Rather than spending day after day scouring Internet forums for how-to information, here youll find more than 60 recipes that take you through the entire process of creating actionable intelligence from your raw data, no matter what shape or form its in. Within the first 30 minutes of opening this book, youll learn how to use the latest in Python and NoSQL databases to glean insights from data just waiting to be exploited.
Well begin with a quick-fire introduction to Python for BI and show you what problems Python solves. From there, we move on to working with a predefined data set to extract data as per business requirements, using the Pandas library and MongoDB as our storage engine.
Next, we will analyze data and perform transformations for BI with Python. Through this, you will gather insightful data that will help you make informed decisions for your business. The final part of the book will show you the most important task of BIvisualizing data by building stunning dashboards using Matplotlib, PyTables, and iPython Notebook.
Style and approachThis is a step-by-step guide to help you prepare, explore, analyze and report data, written in a conversational tone to make it easy to grasp. Whether youre new to BI or are looking for a better way to work, youll find the knowledge and skills here to get your job done efficiently.
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Copyright 2015 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 author, 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.
First published: December 2015
Production reference: 1111215
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78528-746-6
www.packtpub.com
Author
Robert Dempsey
Reviewer
Utsav Singh
Commissioning Editor
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Robert Dempsey is a tested leader and technology professional who specializes in delivering solutions and products to solve tough business challenges. His experience of forming and leading agile teams, combined with more than 16 years of technology experience, enables him to solve complex problems while always keeping the bottom line in mind.
Robert has founded and built three start-ups in tech and marketing, developed and sold two online applications, consulted for Fortune 500 and Inc. 500 companies, and has spoken nationally and internationally on software development and agile project management.
He's the founder of Data Wranglers DC, a group that is dedicated to improving the craft of data engineering, as well as a board member of Data Community DC.
In addition to spending time with his growing family, Robert geeks out on Raspberry Pi, Arduinos, and automating more of his life through hardware and software.
Find him on his website at http://robertwdempsey.com.
I would like to thank my family for giving me the mornings, nights, and weekends to write this book. Without their love and support everything would be a lot harder. I'd also like to thank the creators of Pandas, scikit-learn, matplotlib, and all the excellent Python tools that allow us to do all that we do with data and have fun at the same time. Finally, I'd like to thank the team at Packt for giving me a platform for this book, and you for purchasing it.
Utsav Singh holds a BTech from Uttar Pradesh Technical University and currently works as a senior software engineer at MAQ Software. He is a Microsoft certified Business Intelligence developer, and he has also worked on Amazon Web Services (AWS) and Microsoft Azure. He loves writing reusable, scalable, clean, and optimized code. He believes in developing software that keeps everyone happyprogrammers, clients, and end users.
He is experienced in AWS, Python, Django, Shell scripting, MySQL, SQL Server, and C#. With help from these technologies and extensive experience in business intelligence, he has been designing and automating terabyte-scale data marts and warehouses for the last three years.
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Data! Everyone is surrounded by it, but few know how to truly exploit it. For those who do, glory awaits!
Okay, so that's a little dramatic; however, being able to turn raw data into actionable information is a goal that every organization is working to achieve. This book helps you achieve it.
Making sense of data isn't some esoteric art requiring multiple degreesit's a matter of knowing the recipes to take your data through each stage of the process. It all starts with asking an interesting question.
My mission is that, by the end of this book, you will be equipped to apply Python to business intelligence taskspreparing, exploring, analyzing, visualizing, and reportingin order to make more informed business decisions using the data at hand.
Prepare for an awesome read, my friend!
A little context first. The code in this book is developed on Mac OS X 10.11.1, using Python 3.4.3, IPython 4.0.0, matplotlib 1.4.3, NumPy 1.9.1, scikit-learn 0.16.1, and Pandas 0.16.2in other words, the latest or near-latest versions at the time of publishing.
, Getting Set Up to Gain Business Intelligence , covers a set of installation recipes and advice on how to install the required Python packages and libraries as well as MongoDB.
, Making Your Data All It Can Be , provides recipes to prepare data for analysis, including importing the data into MongoDB, cleaning the data, and standardizing it.
, Learning What Your Data Truly Holds , shows you how to explore your data by creating a Pandas DataFrame from a MongoDB query, creating a data quality report, generating summary statistics, and creating charts.
, Performing Data Analysis for Non Data Analysts , provides recipes to perform statistical and predictive analysis on your data.
, Building a Business Intelligence Dashboard Quickly , builds on everything that you've learned and shows you how to generate reports in Excel, and build web-based business intelligence dashboards.
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