Network Visualization - An Introduction
Network Visualization - An Introduction
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 24m | 1.67 GB
Instructor: Milan Janosov
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 24m | 1.67 GB
Instructor: Milan Janosov
From the fundamentals of network science to hands-on visualization with Gephi
What you'll learn
- Understand the Theoretical Foundations of Network Science - From Theory to Applications
- Master Key Concepts in Network Analytics - Preparation for an Analytical View of Networks
- Develop Practical Skills in Network Visualization with the Software Gephi
- Apply Hands-On Techniques to Analyze Real-World Networks
Requirements
No programming experience is needed. You will learn everything you need on the go.
Description
Welcome to the world of network science, where connections come to life! This course is your comprehensive guide to understanding and applying the principles of network science, graph analytics, and visualization. Whether you're a data scientist looking to expand your expertise or a tech-savvy learner eager for hands-on experience, this course will take you from the basics to practical, real-world applications.
What You’ll Learn
- The foundations of network science, as well as its applicability
- Key concepts like nodes, links, paths, centralities (e.g., PageRank), and network communities.
- Step-by-step techniques for visualizing networks using Gephi, one of the most popular tools in the field.
- Hands-on projects with real-world networks, including the Witcher network, the Manhattan Project network, and a Python library usage network.
Why Take This Course?
Network science is a rapidly growing field with applications in diverse areas like data science, HR, urban planning, biology, and beyond. This course combines theory with practical, hands-on skills to help you:
- Analyze and understand complex systems through networks.
- Create stunning visualizations that uncover hidden patterns and insights.
- Expand your skill set to include one of the most in-demand data analysis techniques today.
Who is This Course For?
This course is designed for:
- Data scientists and analysts who want to enhance their skills by mastering network visualization.
- Tech-savvy learners and professionals curious about hands-on tools and techniques to explore networks.
- Beginners with no prior experience in network science who want to learn through practical examples.
What Makes This Course Unique?
- Learn through diverse case studies: sports, biology, urban planning, and even fantasy worlds like The Witcher.
- Hands-on projects and walk-throughs to build your skills step by step.
- Focus on both the theoretical foundations and practical applications of network science.
- World-class instructor with featured network visualizations as venues such as the New York Times, GQ, and the Miami Art Week.
Join us and start your journey into the fascinating world of connections, where networks reveal the patterns that shape our lives. By the end of this course, you'll be equipped with the tools, knowledge, and confidence to tackle network analysis and visualization like a pro.
Who this course is for:
- Engineers, Data Scientists, and Software Developers - earners with a technical background who want to deepen their analytical skills by understanding and applying network concepts to solve real-world problems.
- Professionals in Human Resources and Psychology - Those looking to analyze and visualize relationships and systems, such as team structures or behavioral networks, to uncover insights that can guide decision-making.
- Beginners Curious About Network Science - Learners with no prior experience who are eager to explore the foundations of networks, their visualizations, and their applications across diverse fields.
- Interdisciplinary Thinkers - Anyone interested in exploring how network science bridges technical, social, and creative domains, with examples spanning urban planning, biology, fantasy worlds, and more.
Network Visualization - An Introduction
