Big Data Mining and Complexity
Exploring the Intersection of Big Data, Data Mining, and Complexity Science
Created by Rajeev Rajaram, Brian C. Castellani
Explore how big data and complexity science come together to solve challenging problems. You'll learn both the theory and hands-on techniques behind data mining, predictive analytics, and machine learning. Real-world examples show how these methods are used in industries like travel and airlines.
Sage Publishing | Sep 2026 | 232 min
What You Will Learn
You'll start by building a strong foundation in big data and complexity science, then move into practical applications. Each section introduces key concepts and methods, followed by real case studies that show how these ideas work in the real world. You'll gain hands-on experience with tools and techniques used by professionals across various industries.
Key Features
- Master advanced data mining, classification, and clustering methods for complex systems
- Apply predictive analytics and machine learning to real-world business challenges
- Analyze geospatial, textual, and network data using practical, industry-tested techniques
Target Audience
This course is designed for data scientists, analysts, and researchers who already have a basic understanding of data analysis. If you're looking to deepen your skills in machine learning, complexity science, or predictive analytics, you'll find practical tools and strategies here. It's also a great fit for professionals in business analytics or those working with complex data in sectors like travel and airlines.
