For a hands-on learning experience to develop LLM applications, join our LLM Bootcamp today.
First 6 seats get an early bird discount of 30%! So hurry up!

Connecting the Dots: Network Science to Spatial Analytics

Agenda

Unveiling Insights Through Network Science and Spatial Analytics

Understanding how everything is connected is a cornerstone of modern data science. Graph Analytics provides a powerful lens for uncovering and visualizing the hidden connections that shape our world. This webinar delves into practical applications of these techniques using a Python-based data stack. From analyzing fictional universes like Game of Thrones and The Witcher to discovering patterns behind star DJs and unraveling the complexities of urban systems, we’ll dive into the transformative power of networks and spatial analytics.

Join us for an engaging session where you’ll learn to harness advanced techniques to uncover patterns, insights, and opportunities in interconnected systems.

Key Takeaways:

  • Discover the power of network science to uncover invisible connections and patterns across diverse domains.
  • Learn practical applications of graph analytics, from pop culture phenomena to urban planning insights.
  • Explore a Python-based data stack for executing advanced spatial and network analyses.
  • See real-world examples of how network science enables actionable insights in cities, culture, and beyond.
  • Gain a fresh perspective on how interconnected systems can drive decision-making and innovation.
Network science
Milan Janosov

Founder of Geospatial Data Consulting

Milan Janosov is a seasoned data scientist with a background in Physics, a PhD in Network and Data Science, and a current focus on Geospatial Data Science. Start-up co-founder, Forbes 30 under 30 entrepreneur, and public educator. Author of the #1 Amazon Best Seller Geospatial Data Science Essentials. His work has been widely featured in professional, scientific, and popular media, including Towards Data Science, Nature Social Science Research, GQ, New Scientist, New York Times, TechXplore, The Economic Times, Gamestar, and more.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!