New item Pay Now
Add this item to Cart for a combined free shipping deal
Click to enlarge photo

Listing Detail Tabs

This item has FREE SHIPPING to any address in NZ

NOTE: Item will ship from our Australian warehouse. A handling time of 2-4 business days applies for all orders. Delivery will then take 3-7 working days.

Data Smart: Using Data Science to Transform Information Into Insight

Condition: BRAND NEW
ISBN: 9781118661468
Author(s): John W. Foreman
Format: Paperback
Year: 2013
Edition: 1st
Publisher: John Wiley & Sons
Dimensions: 189 x 237 x 20 (w x l x h)
Pages: 409

BUYER OFFERS: We are a retail store with set pricing and unfortunately we can't fulfil any requests to sell items for less than the listed price.

Description:
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, the math and the magic, behind big data.
Each chapter will cover a different technique in a spreadsheet so you can follow along: * Mathematical optimization, including non-linear programming and genetic algorithms * Clustering via k-means, spherical k-means, and graph modularity * Data mining in graphs, such as outlier
There were no answered questions or comments placed on this listing.
Your question and answer privileges have been disabled.
You must log in to view questions and answers on this listing. We recommend reading questions before you make any purchases.
Please log in to view questions and answers on this listing. We recommend reading questions before you make any purchases. Available only to approved bidders. You must be an authenticated member to ask questions Find out more about becoming authenticated. Your account is in debt Your current account balance is You must credit your account to use this feature.
Firearms Licence #
By entering my licence number, I confirm I am aware of my obligations under the Arms Act.
Transaction details may be provided to police in accordance with the Terms & Conditions.
Your current account balance is Please note you will lose your question and answer privileges if your account is in debt for more than 2 weeks. Credit your account.
I confirm that I am over 18 years old.
To prevent your personal details being misused please do not put emails or phone numbers in questions. Failure to comply may result in the suspension of your account. The seller cannot add a Buy Now price once bidding has started.

Shipping options

  • Please allow 1-2 days handling, 3-7 days shipping$0.00
  • Store does not allow pick-ups
  • Store location: Auckland City, Auckland, NZ

Payment options

  • NZ bank deposit