Numsense! Data Science for the Layman: No Math Added
Why we picked it
This jargon-free introduction explains major data science algorithms through intuitive visuals and real-world examples with no math required, making the field genuinely accessible for curious high-schoolers.
Our review
Data science without the math, really. This gentle introduction covers major algorithms including A/B testing, clustering, decision trees, random forests, and neural networks through intuitive explanations and visuals rather than formulas. Each chapter introduces a concept, explains how it works, and shows a real-world application, building genuine understanding without requiring calculus as the price of entry.
Careers it connects to
Career pages on ImagineMyFuture that list this resource.
About this book
From the product listing
Want to get started on data science? Our promise: no math added. This book has been written in laymans terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.Popular concepts covered include:AB TestingAnomaly DetectionAssociation RulesClusteringDecision Trees and Random ForestsRegression AnalysisSocial Network AnalysisNeural NetworksFeatures:Intuitive explanations and visualsReal-world applications to illustrate each algorithmPoint summaries at the end of each chapterReference sheets comparing the pros and cons of algorithmsGlossary list of commonly-used termsWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.
Resource details
- Resource type
- Book
- Age ranges
- High School
- Careers
- Data Scientist
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