Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning - Edition 1
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| Alex J. Gutman, Jordan Goldmeier | ||||
| Wiley | ||||
| May 11, 2021 | ||||
| English | ||||
| 272 / 268 pages | ||||
| 11 MB | ||||
[tab] [content title="Description"]
"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."
Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage
You’ve heard the hype around data―now get the facts.
In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it.
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head―an active participant in data science, statistics, and machine learning. Whether you’re a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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[content title="Summary"]You’ll learn how to: Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage
You’ve heard the hype around data―now get the facts.
In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it.
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head―an active participant in data science, statistics, and machine learning. Whether you’re a business professional, engineer, executive, or aspiring data scientist, this book is for you.
• Think statistically and understand the role variation plays in your life and decision making
• Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace
• Understand what’s really going on with machine learning, text analytics, deep learning, and artificial intelligence
• Avoid common pitfalls when working with and interpreting data
[/content] [content title="About the author(s)"]
About Jordan Goldmeier
Website: http://www.anarchydata.com
Contact: +1 614-397-8832, jordan@anarchydata.com
Jordan Goldmeier is an internationally recognized data scientist and data visualization expert, author, speaker, and CEO. He has consulted with and provided training for:
* NATO
* The Pentagon
* Air Force and Navy
* Financial Times
* University of Cincinnati
His work has been cited by and quoted in the:
* Associated Press
* Bloomberg BusinessWeek
* Dice News
* American Express OPEN Forum.
He holds the prestigious MVP award from Microsoft since 2013 and is an owner and producer of Excel.TV, an online community devoted to sharing the stories, setbacks, and lessons from experts and practitioners in Excel, business intelligence, big data, and analytics.
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Contact: +1 614-397-8832, jordan@anarchydata.com
Jordan Goldmeier is an internationally recognized data scientist and data visualization expert, author, speaker, and CEO. He has consulted with and provided training for:
* NATO
* The Pentagon
* Air Force and Navy
* Financial Times
* University of Cincinnati
His work has been cited by and quoted in the:
* Associated Press
* Bloomberg BusinessWeek
* Dice News
* American Express OPEN Forum.
He holds the prestigious MVP award from Microsoft since 2013 and is an owner and producer of Excel.TV, an online community devoted to sharing the stories, setbacks, and lessons from experts and practitioners in Excel, business intelligence, big data, and analytics.
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About Alex J. Gutman
Alex Gutman, PhD, is a data scientist, corporate trainer, and Accredited Professional Statistician® who enjoys teaching a wide variety of data science topics to technical and non-technical audiences. He's an Adjunct Professor at the Air Force Institute of Technology, and in 2019, received a Fulbright Specialist grant to teach data science and machine learning in Kyrgyzstan. [/content] [/tab][button src="https://bit.ly/3vB2Df5"]Download (pdf, 11 MB)[/button]
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