$42.49
Author: Gutman Alex J.
Edition: 1
Number Of Pages: 272
Details: Product 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.
You’ll learn how to: 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
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.
Review
“Big Data, Data Science, Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning…It can be buzzword bingo, but make no mistake, everything is becoming “datafied” and an understanding of data problems and the data science toolset is becoming a requirement for every business person. Alex and Jordan have put together a must read whether you are just starting your journey or already in the thick of it. They made this complex space simple by breaking down the ‘data process’ into understandable patterns and using everyday examples and events over our history to make the concepts relatable.”
– Milen Mahadevan, President of 84.51°
“What I love about this book is its remarkable breadth of topics covered, while maintaining a healthy depth in the content presented for each topic. I believe in the pedagogical concept of ‘Talking the Walk,’ which means being able to explain the hard stuff in terms that broad audiences can grasp. Too many data science books are either too specialized in taking you down the deep paths of mathematics and coding (‘Walking the Walk’) or too shallow in over-hyping the content with a plethora of shallow buzzwords (‘Talking the Talk’). You can take a great walk down the pathways of the data field in Alex and Jordan’s without fear of falling off the path. The journey and destination are well worth the trip, and the talk.”
– Kirk Borne, Data Scientist and Top Worldwide Influencer in Data Science
“The most clear, concise, and practical characterization of working in corporate analytics that I’ve seen. If you want to be a killer analyst and ask the right questions, this is for you.”
– Kristen Kehrer, Data Moves Me, LLC and LinkedIn Top Voices in Data Science & Analytics
“THE book that business and technology leaders need to read to fully understand the potential, power, AND limitations of data science.”
– Jennifer L. L. Morgan, PhD, Analytical Chemist at Procter and Gamble
“You’ve heard it before: ‘We need to be doing more machine learning. Why aren’t we doing more sophisticated data science work?’ Data science isn’t the magic unicorn that will solve all of your company’s problems. Becoming a Data Head brings this idea to life by highlighting when data science is (and isn’t) the right approach and the common pitfalls to watch out for, explaining it all in a way that a data novice can understand. This book will be my new ‘pocket reference’ when communicating complicated concepts to non-technically trained leaders.”
–
Release Date: 11-05-2021
Package Dimensions: 17x226x390
