book

Data Smart: Using Data Science to Transform Information into Insight

by John W. Foreman

November 2013

Beginner to intermediate

432 pages

10h 39m

English

Wiley

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What Am I Doing Here?A Workable Definition of Data ScienceBut Wait, What about Big Data?Who Am I?Who Are You?No Regrets. Spreadsheets ForeverConventionsLet's Get Going
Some Sample DataMoving Quickly with the Control ButtonCopying Formulas and Data QuicklyFormatting CellsPaste Special ValuesInserting ChartsLocating the Find and Replace MenusFormulas for Locating and Pulling ValuesUsing VLOOKUP to Merge DataFiltering and SortingUsing PivotTablesUsing Array FormulasSolving Stuff with SolverOpenSolver: I Wish We Didn't Need This, but We DoWrapping Up

Girls Dance with Girls, Boys Scratch Their ElbowsGetting Real: K-Means Clustering Subscribers in E-mail MarketingK-Medians Clustering and Asymmetric Distance MeasurementsWrapping Up
When You Name a Product Mandrill, You're Going to Get Some Signal and Some NoiseThe World's Fastest Intro to Probability TheoryUsing Bayes Rule to Create an AI ModelLet's Get This Excel Party StartedWrapping Up
Why Should Data Scientists Know Optimization?Starting with a Simple Trade-OffFresh from the Grove to Your Glass...with a Pit Stop through a Blending ModelModeling RiskWrapping Up
What Is a Network Graph?Visualizing a Simple GraphBrief Introduction to GephiBuilding a Graph from the Wholesale Wine DataHow Much Is an Edge Worth? Points and Penalties in Graph ModularityLet's Get Clustering!There and Back Again: A Gephi TaleWrapping Up
Wait, What? You're Pregnant?Don't Kid YourselfPredicting Pregnant Customers at RetailMart Using Linear RegressionPredicting Pregnant Customers at RetailMart Using Logistic RegressionFor More InformationWrapping Up
Using the Data from Chapter 6Bagging: Randomize, Train, RepeatBoosting: If You Get It Wrong, Just Boost and Try AgainWrapping Up
The Sword Trade Is HoppingGetting Acquainted with Time Series DataStarting Slow with Simple Exponential SmoothingYou Might Have a TrendHolt's Trend-Corrected Exponential SmoothingMultiplicative Holt-Winters Exponential SmoothingWrapping Up
Outliers Are (Bad?) People, TooThe Fascinating Case of Hadlum v. HadlumTerrible at Nothing, Bad at EverythingWrapping Up
Getting Up and Running with RDoing Some Actual Data ScienceWrapping Up
Where Am I? What Just Happened?Before You Go-GoGet Creative and Keep in Touch!