Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning is a guide for data science in the workplace, covering everything from the personalities you'll work with to the math behind the algorithms. It is written by award-winning data scientists Alex Gutman and Jordan Goldmeier and is designed to be fun, approachable, and readable for anyone.

Format: Paperback / softback
Length: 272 pages
Publication date: 24 June 2021
Publisher: John Wiley & Sons Inc

Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning

In today's data-driven world, having a strong understanding of data science, statistics, and machine learning is crucial for becoming a valuable employee and driving organizational success. This comprehensive guide, "Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning," authored by Alex Gutman and Jordan Goldmeier, aims to empower individuals with the knowledge and skills necessary to excel in these fields.

The book provides a comprehensive overview of data science, statistics, and machine learning, covering topics such as statistical thinking, data visualization, machine learning algorithms, and their practical applications. It breaks down complex concepts into easily understandable language, making it accessible to a wide range of readers, including business professionals, engineers, executives, and aspiring data scientists.

One of the key strengths of "Becoming a Data Head" is its practical approach. The authors have extensive experience in data trenches and have sought to create a fun, approachable, and eminently readable book. They use real-world examples and case studies to illustrate key concepts and provide practical insights into how data science is being used in various industries. This makes the book not only a valuable resource for learning but also a source of inspiration for those who want to make a difference in their organizations through data-driven decision-making.

In addition to its theoretical knowledge, "Becoming a Data Head" emphasizes the importance of soft skills in data science. The authors recognize that effective communication and critical thinking are essential for interpreting and analyzing data. They provide guidance on how to ask the right questions, identify biases, and make informed decisions based on data. This not only enhances the credibility of data-driven initiatives but also fosters a culture of data literacy within organizations.

The book is organized into nine chapters, each covering a different aspect of data science and machine learning. The first chapter provides an introduction to the field, while subsequent chapters delve into statistical thinking, data visualization, machine learning algorithms, and their applications in fields such as finance, healthcare, and marketing. The final chapter offers tips and resources for further learning and career development in data science.

One of the standout features of "Becoming a Data Head" is its emphasis on accessibility. The authors have made a conscious effort to write in a clear and concise manner, avoiding jargon and technical terms that may confuse readers. They use simple illustrations and diagrams to reinforce key concepts and provide visual representations of data analysis and machine learning processes. This makes the book an ideal resource for beginners who are new to data science and want to gain a solid foundation in the field.

Another notable aspect of "Becoming a Data Head" is its international perspective. The authors recognize that data science is a global field, and they have included examples and case studies from various countries and industries. This not only broadens the scope of the book but also highlights the importance of cultural and contextual understanding when working with data.

In conclusion, "Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning" is a must-read for anyone who wants to thrive in the data-driven world. Whether you are a business professional, engineer, executive, or aspiring data scientist, this book provides you with the knowledge, skills, and inspiration necessary to become a data head and make a significant impact in your organization. By embracing data science, statistics, and machine learning, you can unlock new opportunities, drive innovation, and drive organizational success. So, why wait? Start your journey towards becoming a data head today!

Weight: 362g
Dimension: 154 x 226 x 17 (mm)
ISBN-13: 9781119741749