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: Hardback
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 required for successful projects. It teaches how to effectively question data, uncovering its hidden treasures. The book covers relevant analysis methods and introduces the programming language R, ideal for data analysis. Associated tools like notebooks make data science programming accessible. While technology is crucial, this book also addresses project implementation challenges, explores various application fields, and emphasizes ethical considerations.

Packed with examples, error notes, decision-making aids, and practical tips, Data Science in Practice serves as a valuable complementary text for university students and a valuable learning tool for those transitioning into data-related roles.

Key Features:
1. Success factors and tools for all project phases
2. Includes application examples across various subject areas
3. Introduces various aspects of Data Science, from requirements analysis to data acquisition and visualization

Weight: 750g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032505244