Читать книгу Becoming a Data Head - Alex J. Gutman - Страница 29

Data Heads are people who know how to think critically about data, regardless of their official role. A Data Head can be the analyst behind the keyboard doing the work, or the person at the head of the boardroom table reviewing the work of others. This book will put you, the Data Head, in various roles at different points.

While the “story” of the book is chronological, each chapter is effectively a standalone lesson and could be read out of order. But we recommend reading the book from beginning to end to help construct your mental model to go from the basics to deep learning.

The book is organized into four parts:

 Part I: Thinking Like a Data Head In this part, you'll learn to think like a Data Head—to think critically and ask the right questions about the data projects your organization takes on; what data is and the right lingo to use; and, how to view the world through a statistical lens.

 Part II: Speaking Like a Data Head Data Heads are active participants in important data conversations. This part will teach you how to “argue” with data and what questions to ask to make sense of the statistics you encounter. You'll be exposed to basic statistics and probability concepts required to understand and challenge the results you see.

 Part III: Understanding the Data Scientist's Toolbox Data Heads understand the fundamental concepts of how statistical and machine learning models work. You'll gain an intuitive understanding of unsupervised learning, regression, classification, text analytics, and deep learning.

 Part IV: Ensuring Success Data Heads understand the common mistakes and traps when working with data. You'll learn about technical pitfalls that cause projects to fail, and you'll learn about the people and personalities involved in data projects. Finally, we provide direction on how to succeed as a Data Head.