You’re in — here’s everything

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. Nothing is emailed to you and nothing expires — 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
UN Human Capital Indicators datasetPending
Chapter 53 resources
Sample Superstore datasetPendingSaaS Churn Sample dataPendingAnalytics Project Custom InstructionsPending
Chapter 61 resource
Ecommerce Customer datasetPending
Chapter 71 resource
IBM HR Analytics Employee Attrition and Performance datasetPending
Chapter 81 resource
Coffee Shop Sales datasetPending
Chapter 91 resource
UCI Online Retail datasetPending
Chapter 101 resource
Sample Media Spend DataPending
Chapter 111 resource
Augmented Superstore datasetPending
Chapter 123 resources
Selling To Stakeholders FormulaLiveExecutive Relationship Management PlannerLiveWeb-Based Data Visualization Design Tools: Top 10 GuideLive
Chapter 132 resources
Stakeholder communication best practices and email templateLiveMini-Black Book of Data Professional OrganizationsLive
Chapter 141 resource
Delivery Logistics datasetPending
Chapter 155 resources
Marketing Campaign Data spreadsheetPendingChannel Scorecard CalculatorLiveRecommendation engine mini-trainingLiveMarket basket analysis demoLiveCurated marketing analytics tools and templatesPending
Chapter 161 resource
IBM HR Analytics Employee Attrition and Performance datasetDataset
Chapter 171 resource
Ecommerce Transactions datasetPending
Chapter 211 resource
Curated bootcamp, course, book and community recommendationsPending
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 QuizLink
Chapter 32 resources
CHOOSING THE BEST DEEP LEARNING FRAMEWORK | A REVIEW OF THE TOP 5LinkTHE ART OF EFFECTIVE CROSS-SELLING USING MARKET BASKET ANALYSIS IN EXCELLink
Chapter 42 resources
INTERACTIVE DATA VISUALIZATIONS USING RLinkMCDM Practice ProblemPDF
Chapter 52 resources
BUILDING A RECOMMENDATION SYSTEM IN PYTHON – AS EASY AS 1-2-3!LinkCUSTOMER PROFILING AND SEGMENTATION IN PYTHON | A CONCEPTUAL OVERVIEW AND DEMONSTRATIONLink
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
THE ART OF EFFECTIVE CROSS-SELLING USING MARKET BASKET ANALYSIS IN EXCELLink
Chapter 85 resources
10 Tools for Web-Based Data Visualization DesignPDFDashboard Design Best PracticesPDFExecutive Relationship Management PlannerPDFQGISPDFSelling to Stakeholders FormulaPDF
Chapter 95 resources
Communication Best Practices & Email TemplatePDFDATA SCIENCE USE CASE TEMPLATEPDFMini-Black Book Of Data Professional OrganizationsPDFNotion Template – Data Science Product DocumentationLinkNotion Template – Software Engineering DocumentationLink
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
Forrester ReportPDFVince Lee Podcast EpisodePage
Chapter 143 resources
How to best price and package data science services (mini-trainings)PageOnline Data Service ProvidersLinkResearch Sources for Data Science For Dummies, Edition 3Link
Chapter 151 resource
Question and Asset Request DatabaseLink
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
Chapter 202 resources
Data Entrepreneur ToolkitLinkMy very favorite Shiny applicationsLink