A Friendly Guide to Data Science
everything you should know about the hottest field in tech
$111.99
- Paperback
883 pages
- Release Date
13 July 2025
Summary
Data Science Demystified: A Beginner’s Guide
Unlock the world of data science—no coding required.
Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics—what data analysis involves, which skills are useful, and how terms like “data analytics” and “machine learning” connect—without getting too technical too fast.
Data scienc…
Book Details
| ISBN-13: | 9798868811685 |
|---|---|
| Series: | Friendly Guides to Technology |
| Author: | Kelly P. Vincent |
| Publisher: | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG |
| Imprint: | APress |
| Format: | Paperback |
| Number of Pages: | 883 |
| Release Date: | 13 July 2025 |
| Weight: | 0g |
| Dimensions: | 235mm x 155mm |
About The Author
Kelly P. Vincent
Kelly P. Vincent is a data nerd. As soon as they saw their first spreadsheet, they knew they had to fill it with data and figure out how to analyze it. After doing software engineering work in data science and natural language processing spaces, Kelly landed their dream job—data scientist—at a Fortune 500 company in 2017, before moving on in 2022 to another Fortune 500 company. They have specialized in the at-first-barely-used programming language Python for nearly 20 years. Kelly has a BA degree in Mathematical Sciences, an MSc degree in Speech and Language Processing, and an MS degree in Information Systems. Kelly is also in the Doctor of Technology program at Purdue University. They keep their skills up to date with continuing education. They have worked in many different industries that have given them a range of domain knowledge, including education, bioinformatics, microfinancing, B2B tech, and retail.
Kelly hasn’t let their love of data and programming get in the way of their other love—writing. They’re a novelist in multiple genres and have won several awards for their novels. Kelly considered how they could combine writing and data science, and finally spotted an untapped market with the growth of undergraduate data science and analytics degrees.
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