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.

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