30-Second Data Science: The 50 Key Principles and Innovations in the Field of Data-Gathering, Each Explained in Half a Minute (30 Second) (Hardcover)
30-Second Data Scienceis 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.
The 30 Second series presents concise, informative guides to the most important topics which shape the world around us, presenting terms which are key to understanding the subject in 30 seconds, 300 words, and one image.
About the Author
Liberty Vittert is a Professor of the Practice of Data Science at the Olin Business School at the Washington University in St Louis. She is a regular TV and radio contributor to many news organizations, including Fox News Channel, Popular Science, Newsweek, Business Insider, MarketWatch and The Conversation. As a Royal Statistical Society Ambassador, BBC Expert Woman and an Elected Member of the International Statistical Institute, Liberty works to communicate statistics and data to the public. She is also an Associate Editor for the Harvard Data Science Review and is on the board for the UN Refugee Agency (UNHCR) as well at the HIVE, a UN Refugee Agency data initiative for refugees.