Data-Driven Insights and Analytics for Measurable Sustainable Development Goals
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69 259 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 13 August 2025
- ISBN 9780443330445
- Binding Paperback
- No. of pages344 pages
- Size 235x191 mm
- Weight 450 g
- Language English 687
Categories
Long description:
Data-Driven Insights and Analytics for Measurable Sustainable Development Goals discusses the growing imperative to understand, measure, and guide actions using data-driven insights. The SDGs encompass a broad spectrum of global challenges, from eradicating poverty and hunger to preserving the environment and fostering peace. To address these issues, one should be able to measure and analyze progress. This book bridges the gap between qualitative and quantitative assessments, recognizing that goals are not solely about numbers but also encompass complex social, environmental, and economic dynamics. By merging data science with qualitative analysis, readers can explore how SDGs intersect and influence each other.
The book provides readers with an understanding of how to effectively leverage data science models and algorithms using descriptive analytics, allowing us to assess the current state of SDG performance and offering valuable insights into where we stand on these critical goals. Prescriptive analytics guides actions by offering actionable recommendations, while predictive analytics anticipates future trends and challenges, helping us navigate our path toward the SDGs effectively.
Table of Contents:
Part I: People
1. No Poverty
2: Zero Hunger
3. Good Health and Well-being
Part II: Planet
4. Clean Water and Sanitation
5. Affordable and Clean Energy
6. Climate Action
7. Quality Education
8. Decent Work and Economic Growth
9. Industry, Innovation, and Infrastructure
Part IV: Peace
10. Reduced Inequality
11. Sustainable Cities and Communities
12. Peace, Justice, and Strong Institutions
Part V: Partnership
13. Partnerships for the Goals
