Synopses & Reviews
Synopsis
Data and analytics trends are moving faster than our ability to define and articulate the opportunities (and problems) they create. Blink, and you'll miss one: Big Data, Data Science, Machine Learning, and now Artificial Intelligence. Businesses are left scrambling, often spending their time navigating hype instead of solving real problems. Becoming a Data Head: How to Think, Speak, and Understand Data cuts through the noise and break down the challenges and opportunities of data and analytics, making it accessible and useable. No hype. No unnecessary anecdotes. Readers have heard those stories; they want something deeper but not too technical.
Becoming a Data Head is organized into 4 major sections:
- Before the Analysts Speaks -- understanding the prework required to work with analysts while also identifying your own personal biases that could affect how you interpret results
- An Analysts Walks into the Boardroom -- This section will teach you how to argue with the data. This is not to diminish or second-guess the analyst's work; it's to confirm for you, the decision maker (the Data Head), that quality checks were performed
- A Peek into the Data Analyst's Toolbox -- a gentle dive into several of the technical aspects of data analytics while creating an intuitive understanding of regression, classification, time series, deep learning, and text analytics.
- After the Analysts Speaks -- After the analysis complete, what happens next? This section will discuss how to operationalize results while also outlining potential pitfalls and risks.
Synopsis
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.
Synopsis
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.