30-Second Data Science
The 50 Key Principles and Innovations in the Field of Data-Gathering, Each Explained in Half a Minute
by Liberty Vittert
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Pub Date 29 Sep 2020 | Archive Date 8 Oct 2020
Quarto Publishing Group – Ivy Press | Ivy Press
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Description
30-Second Data Science is the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives.
Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to predicting epidemics. But there’s more to it than the vast quantities of information gathered by our computers, smartphones, and credit cards.
Carefully compiled by experts in the field, 30-Second Data Science covers the basic statistical principles that drive the algorithms, how data affects us in every way—science, society, business, pleasure—along with the ethical quandaries and its future promise of a better world. Each 30-Second entry details a different facet of data science in just 300 words and one picture, showing how the concept of bringing together different types of data, and using powerful computer programs to find patterns no human eye could spot, is already transforming our world.
Exploring key ideas and featuring biographies of the people behind them, 30-Second Data Science explains clearly and concisely all you need to know about data science, from basics to ethics.
Available Editions
| EDITION | Hardcover |
| ISBN | 9781782408925 |
| PRICE | £14.99 (GBP) |
Featured Reviews
Sally A, Librarian
“30 Data Science” is the ideal introduction to every aspect that goes under the term Data Science. The book is split into several sections. It starts with the basics of data science, such as what is data collection and statistics. Then there are 6 major sections- Uncertainty,Science, Society,Busines, Pleasure and The Future. Each of these sections are subdivided into chapters that relate to the section. For instance, under Business, there are chapters on Logistics, Financial Modelling and Marketing. Each section begins with a glossary of important terms and each section has a particular focus on a major person related to the theme. So for Business , it is Herman Hollerith. The information is presented in an attractive way. But what is the strength of the book is how it is organised. Each page has several aspects . There is the major article which describes the subject in detail, a paragraph that describes it in a few sentences then a one sentence definition. There is also a few important figures listed to do with that subject. It could sound messy but the page is easy to navigate around. I found this approach ideal because I could read however much I wanted and learn about the subject on the level which suited me. And I liked the link to the important people too. I found myself learning more than I expected easily and quickly. I would highly recommend this book as a good introduction to the subject of data science.
