Numsense! Data Science for the Layman
No Math Added

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Used in Stanford's CS102 Big Data (Spring 2017) course.

Want to get started on data science?
Our promise: no math added.

This book has been written in layman's 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, as well as lots of visuals, all of which are colorblind-friendly.

Popular concepts covered include:

  • A/B Testing
  • Anomaly Detection
  • Association Rules
  • Clustering
  • Decision Trees and Random Forests
  • Regression Analysis
  • Social Network Analysis
  • Neural Networks


  • Intuitive explanations and visuals
  • Real-world applications to illustrate each algorithm
  • Point summaries at the end of each chapter
  • Reference sheets comparing the pros and cons of algorithms
  • Glossary list of commonly-used terms

With 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.

AuthorAnnalyn Ng
FormatLarge Print
Height900 mm
Length600 mm
Width35 mm
Language TypePublished
Number Of Pages146
Product GroupBook
Publication Date2017-03-24
PublisherAnnalyn Ng & Kenneth Soo
StudioAnnalyn Ng & Kenneth Soo
Sales Rank40058

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General information about Numsense! Data Science for the Layman: No Math Added