Network Science with Python
Explore the networks around us using network science, social network analysis, and machine learning
Created by David Knickerbocker
Discover how to analyze and understand complex networks using Python. You'll learn practical ways to extract, build, and interpret network data, moving beyond simple examples to real-world applications. Gain hands-on experience with social network analysis, network science, and machine learning techniques.
Packt | Feb 2023 | 414 min
What You Will Learn
You will start by exploring the basics of network science, social network analysis, and natural language processing. Through practical coding exercises, you'll learn to construct, clean, and analyze networks using Python. Step by step, you'll apply these skills to real data, uncovering meaningful patterns and insights as you progress.
Key Features
- Build and analyze real-world networks using Python and industry-standard data sets
- Visualize network structures and uncover patterns in communities and relationships
- Apply network data to machine learning for deeper insights and predictive analysis
Target Audience
This course is ideal for data scientists, NLP engineers, software developers, and social scientists with intermediate Python skills. If you want to combine programming with social science to extract insights from complex data, you'll find practical techniques and new perspectives to advance your work.
