Unicorns Among Us: Understanding the High Priests of Data Science
Description:
Data science comprises one of the fastest growing and most lucrative corners of the digital labor market. Data scientists – the so-called "high-priests" of big data – combine unique and esoteric skills. Jonathan Goldman says data scientists are sometimes referred to as "unicorns" simply because the combination of skills and talents required to do the job is so rare and hard to find. In UNICORNS AMONG US, Lars Nielsen profiles today's data scientists by looking at their backgrounds, training, skills, tools and responsibilities. This book will prove ideal reading for anyone contemplating a career in data science, or anyone charged with managing data science projects or data science teams. CONTENTS: High Priests * Part Analyst, Part Inspired Artist * Data Wrangling * The Human Factor vs. The Machine Factor * The Dats Scientist's Shifting Role * A Cool Sub-Niche: Crowd Science * The Data Scientist's Most Important Tool: Hadoop * A Fantastic Kind of Abstraction: The Origins of Hadoop * A Platform is Born * Hadoop Grows Up * A Cautionary Summing Up
Best prices to buy, sell, or rent ISBN 9780692286272
Frequently Asked Questions about Unicorns Among Us: Understanding the High Priests of Data Science
You can buy the Unicorns Among Us: Understanding the High Priests of Data Science book at one of 20+ online bookstores with BookScouter, the website that helps find the best deal across the web. Currently, the best offer comes from and is $ for the .
The price for the book starts from $12.98 on Amazon and is available from 4 sellers at the moment.
If you’re interested in selling back the Unicorns Among Us: Understanding the High Priests of Data Science book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Unicorns Among Us: Understanding the High Priests of Data Science book, the best buyback offer comes from and is $ for the book in good condition.
Not enough insights yet.
Not enough insights yet.