Applied Data Analytics

$2,400.00

8-Week Virtual Self-Paced Course Applied Data Analytics for OSINT Learn & master programming & non-programming techniques tocollect, analyze & interpret open-source data.

SKU: ADA Categories: ,

Description

8-Week Virtual
Self-Paced Course

Applied Data Analytics for

OSINT

Learn & master programming & non-programming techniques to
collect, analyze & interpret open-source data.

8 Week

COURSE OVERVIEW

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 CRAWL™ 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.

Students will receive lectures, reading materials and assignments each week. This course uses Modern Data Analytics in Excel as the foundation for the materials presented. The course will conclude with a final capstone project that builds on the 8 weeks of lessons and projects.

Optional Resources: ChatGPT for generative AI tutorials.

The curriculum prepares students to:  

Develop professional skills through hands-on, practical coursework

Learn best practices in OSINT engineering

Learn at your own pace over the 8-week online course

Build a skill set that can be used across different industries and sectors

Develop the confidence and ability to succinctly communicate findings to audiences and executives

COHORT DATES

January 19 - March 13, 2026

A guided, immersive cohort experience combining expert instruction, practical exercises, and collaborative learning to help you achieve meaningful and measurable outcomes.

May 4 - June 22, 2026

A guided, immersive cohort experience combining expert instruction, practical exercises, and collaborative learning to help you achieve meaningful and measurable outcomes.

Course Learning 
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.

Learning, computer and training business interns in night office with manager, boss and leadership help. Men with technology planning ideas, kpi strategy and marketing innovation vision with mentor

Who Should Attend?

Related SERVICES

Additional information

Dates

January 19 – March 13, 2026, May 4 – June 22, 2026