Applied 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. 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.
Students will learn and master programming and non-programming techniques to collect, analyze and interpret open-source data. Students will use Murach's Python for Data Analysis as the foundation for the materials presented. The primary tools used in this course are Anaconda Distribution/JupyterLab, Tableau/PowerBI. Optional resources include ChatGPT for generative AI tutorials.
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
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