Data Science from Scratch: First Principles with Python
Grus, Joel
Sold by MERS Goodwill, Saint Louis, MO, U.S.A.
AbeBooks Seller since March 13, 2026
Used - Soft cover
Condition: Used - Fair
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by MERS Goodwill, Saint Louis, MO, U.S.A.
AbeBooks Seller since March 13, 2026
Condition: Used - Fair
Quantity: 1 available
Add to basketUsed - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.
Seller Inventory # MERV.149190142X.A
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
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