📘 Big Data and Social Science: A Practical Guide to Methods and Tools

Editors: Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane
Edition: 2nd, 2021
Pages: 413

This book is a comprehensive guide to applying data science techniques in social science research. It combines computer science, statistics, and social science methods to tackle real-world problems, with a focus on the quantitative study of innovation.

🔹 Key Features:
✔ Interdisciplinary Approach: Integrates statistics, social science, and data science techniques.
✔ Real-World Applications: Uses national-level challenges to illustrate data science methods.
✔ Practical Guidance: Covers data collection, model application, and error analysis.
✔ Modern Research Tools: Teaches how to identify, capture, and analyze big data.
✔ For Students & Professionals: Suitable for traditional students, researchers, and working professionals.
✔ Expert Contributions: Written by leading experts in statistics, social science, and data science.

📖 A must-read for anyone looking to leverage big data for social science research and decision-making!