Essential Math for Data Science

This edition of Essential Math for Data Science has approximately 350 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, Essential Math for Data Science typically takes between 7h 18m and 4h 52m to complete. This is based on the book's length of approximately 87,500 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 50m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 87,500 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

The estimated word count for Essential Math for Data Science is approximately 87,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Essential Math for Data Science was written by Thomas Nield.

The publication date for this specific edition is 2022. The original work may have been published on a different date.