Workshop Focus Areas Applied Python for campaign data analysis Identifying anomalous behaviour patterns Translating technical findings into business impact Understanding security implications of data interpretation
Key Learning Outcomes Participants demonstrated ability to: Move from raw data to structured insight Identify suspicious behavioural indicators Articulate business risk implications Connect analytics to cybersecurity context
Strategic Relevance The session reinforced: Data literacy as a security skill Analytical reasoning under real-world constraints The importance of structured interpretation Responsible use of analytical tooling
Observed Themes Strong engagement when linking technical output to real-world consequence Curiosity around governance and compliance implications Early awareness of responsible AI and data usage