Mastering graph/network analytics

This training offers a hands-on exploration of graph theory and network analysis, empowering participants to analyse and interpret complex data structures. Through practical exercises, you will learn to apply network analysis techniques across various domains, from social network analysis to infrastructure and beyond. The course emphasises real-world applications, teaching you to harness the power of graph algorithms and analytics tools to uncover insights, optimise networks, and drive decision-making.

By the end of this training, participants will be able to:

• develop a solid comprehension of the significance of graph and network analytics in operational intelligence and decision-making processes;
• learn the fundamental principles and methodologies of graph theory and its application in data analysis;
• explore a variety of technical algorithms used in graph and network analytics;
• develop practical skills in implementing and applying graph algorithms to real-world datasets through hands-on exercises.

• Introduction to graph theory and fundamentals:

Basic concepts of graphs, nodes, and edges;
Network analytics and the most common application scenarios in a business context.

• Fundamentals of graph analytics:

Common graph algorithms as centrality measure and community detection

• Practical hands-on exploration:

Graph algorithms implementation using Python and libraries like NetworkX, and tools such Gephi and Neo4j

• Case studies and real-world applications:

Case studies of graph analytics implementations across various industries

This training is coordinated by Thierry Kremser, Partner at PwC Luxembourg and Andreas Braun, Director at PwC Luxembourg.

Thierry is leading the Technology Consulting services. He has over 20 years of experience in IT strategy with a specific focus on the quality and efficiency of IT departments. He has managed numerous innovation and transformation programmes and has also been involved in IT risk and security projects. Thierry is also leading the data and AI services.

Andreas is an expert in biometrics and artificial intelligence.
He has more than 15 years of experience in public and private sector projects from AI strategy and regulation, to R&D projects and proof-of-concept implementations.
Prior to joining PwC, he was group leader at a leading research institution, focusing on biometrics, AI, and IoT. He has been a university lecturer, authored more than 100 scientific publications and holds several patents.