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Reader Resource Library
Every practice file, template, guide and reference that goes with Data Science For Dummies.
4th Edition
Fourth edition files
Every file lives on its own page here, chapter by chapter. Follow the chapter link printed in the book, or open the chapter below.
Resources marked Pending have their page ready and the file going up shortly. That page is the permanent home for the file, so the link is safe to bookmark now.
Chapter 11 resource
Chapter 21 resource
Chapter 53 resources
Chapter 61 resource
Chapter 71 resource
Chapter 81 resource
Chapter 91 resource
Chapter 101 resource
Chapter 111 resource
Chapter 123 resources
Chapter 132 resources
Chapter 141 resource
Chapter 155 resources
Chapter 161 resource
Chapter 171 resource
Chapter 211 resource
3rd Edition
Third edition library
Everything published for the third edition stays here and stays available. If you’re reading the third edition, this is your section — chapter numbers below match that printing.
Reading the fourth edition? Plenty of this still applies, but the chapter numbers changed. Use the titles rather than the numbers to find what you want.
Chapter 11 resource
Data Superhero QuizThis product was retired in 2023 and is no longer supported.Retired 2023
Chapter 32 resources
Chapter 42 resources
Chapter 52 resources
Chapter 65 resources
BUILDING A RECOMMENDATION SYSTEM IN PYTHON – AS EASY AS 1-2-3!LinkCONJOINT ANALYSIS IN R: A MARKETING DATA SCIENCE CODING DEMONSTRATIONLinkCUSTOMER PROFILING AND SEGMENTATION IN PYTHON | A CONCEPTUAL OVERVIEW AND DEMONSTRATIONLinkINTERACTIVE DATA VISUALIZATIONS USING RLinkWEBSCRAPING WITH PYTHON AND BEAUTIFULSOUP: PART 1 OF 3Link
Chapter 71 resource
Chapter 85 resources
Chapter 95 resources
Chapter 115 resources
BUILDING A RECOMMENDATION SYSTEM IN PYTHON – AS EASY AS 1-2-3!LinkCONJOINT ANALYSIS IN R: A MARKETING DATA SCIENCE CODING DEMONSTRATIONLinkCUSTOMER PROFILING AND SEGMENTATION IN PYTHON | A CONCEPTUAL OVERVIEW AND DEMONSTRATIONLinkChannel Scorecard CalculatorLinkTHE ART OF EFFECTIVE CROSS-SELLING USING MARKET BASKET ANALYSIS IN EXCELLink
Chapter 132 resources
Chapter 143 resources
Chapter 151 resource
Chapter 188 resources
A Badass’s Guide to Breaking into DataLinkBuilding a Data Science Portfolio: A Newcomer’s GuideLinkData Thoughtleaders I Recommend (2021)LinkHow to Implement These Revenue ModelsPageMini-Black Book Of Data Professional OrganizationsPDFState of Machine Learning and Data Science 2020PDFThe Secret To Building AI Software That Actually SellsPageWhere do Data Scientists Come From? by Indeed EngineeringLink