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Python Business Intelligence Cookbook, by Robert Dempsey
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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
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 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 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 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.
- Sales Rank: #1835203 in Books
- Published on: 2015-12-22
- Released on: 2015-12-22
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .46" w x 7.50" l, .78 pounds
- Binding: Paperback
- 202 pages
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.
Most helpful customer reviews
0 of 0 people found the following review helpful.
General Introduction to Working With Data In Python/Pandas
By Alex Meadows
Python Business Intelligence Cookbook is a good introduction to the basics of Pandas and working with csv files and MongoDB. One of the books few shortcomings is the lack of recipes showing interaction with a traditional RDBMS. While it can be understood that due to the variety and intermediate complexity that accessing a SQL database directly is out of scope for the book, it would have been nice to provide some reference to start with. That said, the various data types and process for analyzing, organizing, and visualizing data is spot on. The author even dives into predictive analytics. If you are looking for a general overview then this is a decent place to start.
To note: I was asked by the publisher to provide this review in return for a free book. This did not impact my review.
2 of 2 people found the following review helpful.
A good introduction to BI in Python
By Mauro A
A good introduction to BI in Python. One drawback is that
the only database considered is MongoDB, ignoring other NoSQL and relational DBs, but the idea here is that you import your data, wherever it comes from, into MongoDB for BI analysis, so it is not that bad.
The core chapters are about understanding your data and performing data analysis on it, showing how to perform the most common operations: linear and logistic regression, random forest and SVM.
Last chapter is about quickly building a BI dashboard and I wish it was a little more elaborate and deep, especially regarding UI for presenting data to business users.
All in all a good introductory book on BI with Python
0 of 0 people found the following review helpful.
Good for Python developers wanting to add BI functionality
By Ed P
If you are Python programmer introducing BI functionality to your applications then this would be a good starting point. The content is reasonably good, but for many of the tasks covered, similar results could be achieved much quicker and easier with dedicated Business Intelligence tools for ETL and reporting. Also, the database used is MongoDB. There is no coverage of many popular NoSQL and RDBMS systems such as MySQL, PostgreSQL, SQL Server, Hadoop and Oracle that are likely to be used in the corporate world. But as a starting point some of these recipes could be adapted to use other systems as well. All in all, a decent effort, but somewhat limited in applicability
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