Book Image

Data Smart

By : John W. Foreman
Book Image

Data Smart

By: John W. Foreman

Overview of this book

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, math and the magic, behind big data.
Table of Contents (18 chapters)
Free Chapter
1
Cover
2
Credits
3
About the Author
4
About the Technical Editors
5
Acknowledgments
18
End User License Agreement

Let's Get This Excel Party Started

In this chapter's workbook, called Mandrill.xlsx, you have two tabs of input data to start with. One tab, AboutMandrillApp, contains 150 tweets, one per row, pertaining to Mandrill.com. The other tab, AboutOther, contains 150 tweets about other mandrill-related things.

I just want to say before you get started—welcome to the world of natural language processing (NLP). Natural language processing concerns itself with chewing on human-written text and spitting out knowledge. And that almost always means prepping that human-written content (like tweets) for computer consumption. It's time to get prepping...