Data Science in Practice

Data Science in Practice provides an introduction to data science, covering proper data questioning, analysis methods, and programming language R. It includes tools like notebooks and addresses project implementation, application fields, and ethical aspects. Ideal for university students and professionals.

Format: Paperback / softback
Length: 302 pages
Publication date: 22 September 2023
Publisher: Taylor & Francis Ltd

Data Science in Practice is the perfect introduction to data science, regardless of mathematical abilities. This comprehensive guide provides the all-round perspective you need for your projects. It teaches you how to effectively question data, uncovering the hidden treasures it holds. You'll learn about relevant analysis methods and explore the programming language R, ideal for data analysis. Additionally, this introduction includes associated tools like notebooks, making data science programming accessible. While technology is crucial, this book also addresses project implementation challenges, explores various application fields, and emphasizes ethical considerations.

With numerous examples, error notes, decision-making aids, and practical tips, Data Science in Practice is an invaluable resource for university students and professionals transitioning into data-related roles. It covers key features such as success factors and tools for all project phases, real-world application examples across various subject areas, and a comprehensive overview of data science concepts, from requirements analysis to data acquisition and visualization.

Weight: 534g
Dimension: 155 x 235 x 22 (mm)
ISBN-13: 9781032505268