Data Smart: Using Data Science to Transform Information into Insight

John Wiley & Sons
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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 detection
  • Supervised AI through logistic regression, ensemble models, and bag-of-words models
  • Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation
  • Moving from spreadsheets into the R programming language

You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

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About the author

John W. Foreman is Chief Data Scientist for MailChimp.com, where he leads a data science product development effort called the Email Genome Project. As an analytics consultant, John has created data science solutions for The Coca-Cola Company, Royal Caribbean International, Intercontinental Hotels Group, Dell, the Department of Defense, the IRS, and the FBI.
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Additional Information

Publisher
John Wiley & Sons
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Published on
Oct 31, 2013
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Pages
432
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ISBN
9781118839867
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Language
English
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Genres
Business & Economics / Operations Research
Computers / Computer Simulation
Computers / Information Technology
Computers / Intelligence (AI) & Semantics
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Content Protection
This content is DRM protected.
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Read Aloud
Available on Android devices
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 本書告訴你如何用Excel,從一堆數字中找出提升業績的秘密

不騙你,但資料科學家可不是什麼神秘的魔法師。資料科學是人人都能玩的。

真的!本書會示範最重要的資料科學技術、運作原理、使用方式,以及對業務的成效。

本書不寫程式、不談資料庫技術,只是採用最迅速無痛的方式,把原始資料變成你可以處理的東西。

捲起袖子,一起來動手吧!


別緊張,不過是是試算表而已。


本書提供範例檔案可供下載練習。您可以學到:

.使用一般線性模型、混合方法與「單純貝式」,建立人工智慧

.用 k-means、球形k-means與網路圖模組化來建立叢集

.數學最佳化,包括非線性規劃與一般演算法

.用指數平滑法,處理時間序列資料與展望

.用蒙地卡羅模擬,計算風險並量化

.在單一維度或多維度進行異常偵測

.初探資料科學專用的R程式語言


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<B>名人推薦</B>

「本書把現代統計方法與演算法解釋得易懂易做。你再也不用被教科書與論文荼毒了!」

—Patrick Crosby,StatHat創始人,OkCupid首任技術長


「佛爾曼先生來我公司面談時,穿著『肯德基上校』式的西裝,鬼扯一堆烤肉、雷射和柳橙汁之類的無關話題。然後,他解釋了要怎樣解決我公司的『大數據』問題,只用了簡單的試算表。不用搞伺服器叢集、大型主機或Hadoop之類的昂貴軟體。只用了Excel。我馬上決定聘請他。讀完本書後,你也會學到如何用數學方法與基礎試算表公式改善你的業務,或者至少可以騙到某位高級主管聘請你當資料分析師。」

— Ben Chestnut, MailChimp創始人兼執行長


「約翰佛爾曼是分析團隊的必備成員,如果你搶不到他,乖乖讀本書也勉強可以啦。」

— Patrick Lennon,可口可樂公司分析總監

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