Exploratory Data Science - A Practical Guide for Engineering and Science Students

Pasquale De Marco

Maison d'édition: Publishdrive

Synopsis

"Exploratory Data Science: A Practical Guide for Engineering and Science Students" is a comprehensive and engaging introduction to the world of data analysis, probability, and statistics. Designed for students in engineering, science, and related fields, this book provides a solid foundation in the essential concepts and techniques needed to extract meaningful insights from data.

With a focus on practical applications and real-world examples, "Exploratory Data Science" takes readers on a journey through the art of data exploration, visualization, and statistical inference. Learn how to uncover patterns, trends, and relationships hidden within data using graphical representations, numerical summaries, and probability distributions. Master the art of hypothesis testing to make informed decisions in the face of uncertainty.

Delve into the intricacies of correlation and regression analysis to uncover relationships between variables and make predictions based on observed patterns. Explore time series analysis and forecasting to unravel patterns and trends over time. Discover the power of design of experiments and analysis of variance to optimize processes and make informed decisions.

Non-parametric statistics and Bayesian statistics are also covered, providing readers with the tools to analyze data that may not conform to traditional assumptions and to incorporate prior knowledge and uncertainty into statistical models. The book concludes with a thorough exploration of statistical computing and software, equipping readers with the practical skills necessary to harness the computational power of modern statistical software packages.

Written in a clear and accessible style, "Exploratory Data Science" is packed with hands-on exercises, case studies, and thought-provoking questions to reinforce understanding and encourage critical thinking. Ethical considerations in data analysis are also emphasized, ensuring that statistical methods are applied responsibly and with integrity.

Whether you are a student seeking a deeper understanding of data science or a professional looking to enhance your analytical skills, "Exploratory Data Science" is the ultimate guide to unlocking the transformative potential of data. Embark on a journey of discovery and empower yourself to make informed decisions, solve complex problems, and drive innovation in your field.

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Disponible depuis: 02/06/2025.

Longueur d'impression: 171 pages.

Science et Technologie

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