Applied Data Analytics
for OSINT
Analytics for Open-Source Intelligence (OSINT)
Learn & Master Applied Analytics for OSINT
During this 8-week virtual course, students will gain hands-on experience in scoping, collecting, cleaning, analyzing, and visualizing open-source data while following the CRAWLTM method, developed by Cynthia Hetherington. Throughout this course, students will complete a comprehensive open-source data analysis project, from collection to analysis, and develop the skills to communicate findings effectively.
The course focuses on foundational data analytics. Learners will apply their skills to analyze datasets reflective of cybersecurity and OSINT scenarios. The 'SignalJack' case study provides an opportunity to practice data cleaning, visualization, and interpretation in a structured environment that reinforces the applications of data analytics.
Students should have a foundational knowledge of open-source intelligence prior to taking this course.
Small group rates for this training are available. Please reach out to [email protected] for more information.
Accredited training for industry professionals
Course Objectives:
Explore the role of OSINT in intelligence and decision-making
Learn methods for gathering and organizing data from open-source platforms, using the CRAWLTM methodology.
Apply foundational data science techniques to uncover patterns
Use accessible tools to present data-driven insights
Understand and adhere to legal and ethical standards
Deliver actionable insights through professional reports and presentations