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Practical Business Intelligence

You're reading from   Practical Business Intelligence Optimize Business Intelligence for Efficient Data Analysis

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781785885433
Length 352 pages
Edition 1st Edition
Languages
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Author (1):
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Ahmed Sherif Ahmed Sherif
Author Profile Icon Ahmed Sherif
Ahmed Sherif
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Table of Contents (16) Chapters Close

Practical Business Intelligence
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Practical Business Intelligence FREE CHAPTER 2. Web Scraping 3. Analysis with Excel and Creating Interactive Maps and Charts with Power BI 4. Creating Bar Charts with D3.js 5. Forecasting with R 6. Creating Histograms and Normal Distribution Plots with Python 7. Creating a Sales Dashboard with Tableau 8. Creating an Inventory Dashboard with QlikSense 9. Data Analysis with Microsoft SQL Server

Getting started with Python


Chances are that you already have some version of Python installed on your machine, especially if you have a Mac. For the purposes of this exercise, we will be downloading Python 3 onto our Windows machine. At the time of writing this book, Python 3.5.1 is available for download; however, for the purposes of this book, we will go with the more reliable version, 3.4.4.

Downloading and installing Python

Similar to R, Python has a dedicated website for downloading appropriate versions of Python: https://www.python.org/downloads/

Once the executable file has been downloaded, run it to get the installation process started, as shown in the following screenshot:

Select the appropriate directory for the installation of Python 3.4.4. When asked to customize Python during the installation, allow all the features to be selected, especially Add python.exe to Path, as this function will allow you to just type python in a command prompt without having to type in the full path...

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