Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Product ID: 463948787
📈Covers Linear Algebra, Probability & Statistics
📊350 pages of deep data science math
📚Paperback for on-the-go learning
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Description
📊 Take control of your data destiny with math that means business!
- TOP RANKED TRUSTED - Ranked #2 in Mathematical Analysis with a 4.6-star rating from nearly 300 reviews—join a community of data-savvy readers.
- CONCISE YET COMPREHENSIVE - 350 pages of focused content that balances depth with accessibility—perfect for busy managers leveling up.
- PORTABLE PAPERBACK FORMAT - Easy to carry and reference anytime, anywhere—because your learning should fit your lifestyle.
- PRACTICAL PYTHON INTEGRATION - Apply theory directly with hands-on Python exercises designed for self-driven professionals.
- MASTER THE MATH BEHIND DATA SCIENCE - Unlock core concepts in linear algebra, probability, and statistics essential for data-driven decision making.
Essential Math for Data Science by Thomas Nield is a 350-page paperback that equips professionals with fundamental linear algebra, probability, and statistics concepts. Highly rated and top-ranked in mathematical analysis, this book blends theory with practical Python exercises, making it an indispensable resource for managers and data enthusiasts eager to master the math powering modern data science.
Specifications
| Best Sellers Rank | #55,192 in Books ( See Top 100 in Books ) #30 in Mathematical Analysis #125 in Pure Mathematics #126 in Applied Mathematics |
| Customer reviews | 4.6 4.6 out of 5 stars (313) |
| Dimensions | 17.78 x 1.91 x 22.86 cm |
| Edition | 1st |
| ISBN-10 | 1098102932 |
| ISBN-13 | 978-1098102937 |
| Item weight | 581 g |
| Language | English |
| Print length | 349 pages |
| Publication date | 10 June 2022 |
| Publisher | O'Reilly Media |
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