Python Business Intelligence Cookbook

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9781785287466: 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 tasks―preparing, exploring, analyzing, visualizing and reporting―in 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

Who This Book Is For

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

In Detail

The amount of data produced by businesses and devices is going nowhere but up. In this scenario, the major advantage of Python is that it's 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 you'll 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 it's in. Within the first 30 minutes of opening this book, you'll learn how to use the latest in Python and NoSQL databases to glean insights from data just waiting to be exploited.

We'll 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 BI―visualizing data by building stunning dashboards using Matplotlib, PyTables, and iPython Notebook.

Style and approach

This 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 you're new to BI or are looking for a better way to work, you'll find the knowledge and skills here to get your job done efficiently.

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About the Author:

Robert Dempsey

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.

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Book Description Packt Publishing Limited, United Kingdom, 2015. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.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 tasks-preparing, exploring, analyzing, visualizing and reporting-in 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 Who This Book Is For 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 In Detail The amount of data produced by businesses and devices is going nowhere but up. In this scenario, the major advantage of Python is that it s 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 you ll 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 it s in. Within the first 30 minutes of opening this book, you ll learn how to use the latest in Python and NoSQL databases to glean insights from data just waiting to be exploited. We ll 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 BI-visualizing data by building stunning dashboards using Matplotlib, PyTables, and iPython Notebook. Style and approach This 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 you re new to BI or are looking for a better way to work, you ll find the knowledge and skills here to get your job done efficiently. Seller Inventory # AAV9781785287466

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Book Description Packt Publishing Limited, United Kingdom, 2015. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. 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 tasks-preparing, exploring, analyzing, visualizing and reporting-in 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 Who This Book Is For 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 In Detail The amount of data produced by businesses and devices is going nowhere but up. In this scenario, the major advantage of Python is that it s 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 you ll 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 it s in. Within the first 30 minutes of opening this book, you ll learn how to use the latest in Python and NoSQL databases to glean insights from data just waiting to be exploited. We ll 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 BI-visualizing data by building stunning dashboards using Matplotlib, PyTables, and iPython Notebook. Style and approach This 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 you re new to BI or are looking for a better way to work, you ll find the knowledge and skills here to get your job done efficiently. Seller Inventory # AAV9781785287466

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Book Description Packt Publishing - ebooks Account. Paperback. Condition: New. 146 pages. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisionsAbout This BookWant to minimize risk and optimize profits of your business Learn to create efficient analytical reports with ease using this highly practical, easy-to-follow guideLearn to apply Python for business intelligence tasks-preparing, exploring, analyzing, visualizing and reporting-in order to make more informed business decisions using data at handLearn to explore and analyze business data, and build business intelligence dashboards with the help of various insightful recipesWho This Book Is ForThis 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 LearnInstall Anaconda, MongoDB, and everything you need to get started with your data analysisPrepare data for analysis by querying cleaning and standardizing dataExplore your data by creating a Pandas data frame from MongoDBGain powerful insights, both statistical and predictive, to make informed business decisionsVisualize your data by building dashboards and generating reportsCreate a complete data processing and business intelligence systemIn DetailThe 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 BI-visualizing data by building stunning dashboards using Matplotlib, PyTables, and iPython Notebook. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9781785287466

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