Essential Statistics for Data Science: A Concise Crash Course

The book covers probability, random variables, frequentist and Bayesian approaches, and decision-making with uncertainty. It is designed for students entering a graduate program or advanced undergraduate teaching in data science.

Format: Hardback
Length: 176 pages
Publication date: 04 April 2023
Publisher: Oxford University Press

Essential Statistics for Data Science: A Concise Crash Course is a comprehensive guide designed for students embarking on a rigorous graduate program or advanced undergraduate teaching in data science, without possessing a sufficient understanding of statistics. This three-part text takes readers on a journey from the fundamental principles of probability and random variables to relatively advanced topics in both frequentist and Bayesian approaches, covering a wide range of subjects in just a few weeks.

In Part I, Talking Probability, the author emphasizes that the statistical approach to analyzing data begins with the construction of a probability model that describes the process by which data is generated. This model serves as a framework for understanding and interpreting the patterns and relationships within the data.

Part II, Doing Statistics, delves into the realm of statistical inference, where the primary objective is to learn unknown quantities within the model, such as its parameters. This involves utilizing the data available to make assumptions and draw conclusions about the underlying phenomena. The author emphasizes the importance of understanding the assumptions and limitations of statistical inference and the potential biases that may arise.

Part III, Facing Uncertainty, sheds light on the significance of explicitly describing the level of uncertainty associated with the model parameters, particularly those with intrinsic scientific meaning. The author emphasizes the importance of considering this uncertainty when making decisions based on the analysis of data.

Essential Statistics for Data Science: A Concise Crash Course strikes a balance between providing an in-depth introduction for beginners and being more serious than a typical undergraduate text. However, it is still lighter and more accessible than an average graduate text, making it suitable for students with a range of backgrounds and skill levels.

By covering a wide range of topics in a concise and engaging manner, this text serves as a valuable resource for students seeking to excel in data science and other quantitative fields. Whether you are a recent undergraduate graduate or a professional looking to expand your statistical knowledge, this book will provide you with the essential tools and insights needed to succeed in your academic and professional endeavors.

Weight: 450g
Dimension: 160 x 241 x 15 (mm)
ISBN-13: 9780192867735