
Virtual Detective Course
Master the tools, techniques, and mindset used by professional virtual investigators to uncover the truth online. From open-source intelligence and identity tracing to behavioural analysis and financial crime, this course covers the full investigative lifecycle. You will graduate ready to conduct real, defensible digital investigations from intake to final report.
What you will learn:
This course teaches you how to conduct professional virtual investigations from start to finish. You will learn advanced OSINT techniques, digital identity reconstruction, and network relationship mapping. You will apply behavioural analysis to detect deception and identify patterns in digital data. The course also covers forensically sound evidence collection, dark web navigation, cryptocurrency tracing, and covert persona management. You will finish by producing structured investigative reports and case packages ready for operational or legal use.
How you study practically Virtual Detective Course
How you practise Virtual Detective Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Virtual Investigation
Foundations of Virtual Investigation
Lesson 1 • Legal and Ethical Boundaries
Covers the ethical obligations and legal constraints governing virtual investigations. Students learn to operate within authorised boundaries before touching any investigative tool.
Lesson 2 • Overview of the Investigation Lifecycle
Maps the end-to-end process from initial tip to final report. Provides the structural scaffold that all later chapters fill with specific skills and techniques.
Lesson 3 • Core Terminology and Concepts
Introduces essential vocabulary covering digital artifacts, evidence types, and investigative roles. Shared language enables precise communication throughout all course modules.
Lesson 4 • The Virtual Detective Mindset
Establishes the analytical thinking patterns required for digital investigations. Connects critical reasoning habits to every subsequent investigative technique in the course.
Chapter 2HideHide detailsSee detailsOpen-Source Intelligence Fundamentals
Open-Source Intelligence Fundamentals
Lesson 1 • Evaluating and Verifying Sources
Provides structured methods for assessing credibility and corroborating claims. Accurate source evaluation prevents false leads from corrupting the investigation.
Lesson 2 • Introduction to OSINT Principles
Defines open-source intelligence and distinguishes it from other collection disciplines. Grounds students in the reliability hierarchy before they begin active collection.
Lesson 3 • Organising OSINT Findings
Introduces tools and workflows for storing, tagging, and retrieving collected criminal intelligence. Organised data accelerates analysis and supports defensible reporting.
Lesson 4 • Search Engine Mastery
Teaches advanced query construction to surface hidden or buried web content. Students apply operators and filters to dramatically narrow and deepen search results.
Lesson 5 • Social Media Intelligence Collection
Covers systematic extraction of data from social platforms without alerting subjects. Techniques connect directly to subject profiling covered in later chapters.
Chapter 3HideHide detailsSee detailsDigital Footprint and Identity Analysis
Digital Footprint and Identity Analysis
Lesson 1 • Building a Subject Profile
Synthesises all identity indicators into a structured, evidence-backed subject profile. Profiling skills feed directly into network mapping and behavioural analysis chapters.
Lesson 2 • Email Address Investigation
Explores methods for extracting intelligence from email addresses, including account age and linked services. Email pivots frequently unlock entire identity clusters.
Lesson 3 • Username and Handle Tracing
Covers techniques for tracking a single username across multiple platforms and services. Consistent handle use is one of the most reliable identity anchors available to investigators.
Lesson 4 • Phone Number and Device Indicators
Covers open-source methods for attributing phone numbers to individuals and devices. Students learn to distinguish carrier data from user-generated signals.
Lesson 5 • Understanding Digital Footprints
Explains how individuals leave passive and active traces across digital environments. Awareness of footprint types guides targeted collection in subsequent sections.
Chapter 4HideHide detailsSee detailsNetwork Mapping and Relationship Analysis
Network Mapping and Relationship Analysis
Lesson 1 • Mapping Social Networks
Applies link analysis to social media connections, followers, and interaction patterns. Social graphs reveal associates, influencers, and potential co-conspirators.
Lesson 2 • Principles of Link Analysis
Introduces graph theory concepts applied to investigative network mapping. Understanding nodes and edges is prerequisite to building meaningful relationship charts.
Lesson 3 • Visualising and Presenting Networks
Teaches use of visualisation tools to render complex networks into clear, communicable charts. Effective visuals are essential for briefings and final investigative reports.
Lesson 4 • Identifying Key Nodes and Vulnerabilities
Applies centrality analysis to pinpoint the most influential actors and critical links in a network. Key node identification drives investigative prioritisation and resource allocation.
Lesson 5 • Organisational and Corporate Mapping
Covers tracing ownership structures, directorships, and corporate affiliations using public records. Corporate mapping exposes beneficial ownership and shell structures.
Chapter 5HideHide detailsSee detailsDigital Evidence Collection and Preservation
Digital Evidence Collection and Preservation
Lesson 1 • Evidence Integrity Fundamentals
Establishes the principles of evidence integrity, including hashing and write protection. Integrity practices underpin every collection action taken in this chapter.
Lesson 2 • Working with Third-Party Data Sources
Explains how to request and handle data from platforms, registrars, and service providers. Proper request procedures maximise data yield and maintain legal defensibility.
Lesson 3 • Preserving Communications Data
Addresses collection of emails, messages, and chat logs while maintaining metadata integrity. Communications data often contains the most direct evidence of intent and coordination.
Lesson 4 • Evidence Storage and Access Control
Covers secure storage architectures and access logging for collected evidence. Controlled access prevents contamination and supports chain of custody requirements.
Lesson 5 • Capturing Web and Social Media Evidence
Covers tools and methods for capturing online content in a forensically defensible manner. Web evidence is volatile and must be captured before subjects delete or alter it.
Chapter 6HideHide detailsSee detailsBehavioural Analysis and Pattern Recognition
Behavioural Analysis and Pattern Recognition
Lesson 1 • Behavioural Indicators in Digital Data
Introduces the concept of behavioural signatures embedded in digital activity logs and content. Recognising these signatures is the foundation of all pattern-based analysis.
Lesson 2 • Predictive Behavioural Modelling
Introduces structured methods for forecasting subject behaviour based on established patterns. Predictive models support proactive investigative decisions and resource planning.
Lesson 3 • Linguistic and Stylometric Analysis
Covers analysis of writing style to attribute authorship and detect deception in text. Stylometric techniques complement technical evidence with content-based insights.
Lesson 4 • Detecting Deception and Manipulation
Identifies digital behaviours associated with deliberate deception, impersonation, and narrative manipulation. Students apply detection frameworks to case scenarios.
Lesson 5 • Temporal Pattern Analysis
Teaches extraction and interpretation of time-based patterns from digital records. Temporal analysis can establish presence, alibi conflicts, and operational rhythms.
Chapter 7HideHide detailsSee detailsAdvanced Investigation Techniques
Advanced Investigation Techniques
Lesson 1 • Covert Online Persona Management
Teaches creation and maintenance of investigative personas for undercover digital operations. Persona integrity is critical to both operational success and legal defensibility.
Lesson 2 • Geolocation and Imagery Analysis
Covers techniques for determining physical locations from images, videos, and metadata. Geolocation skills bridge the digital and physical dimensions of an investigation.
Lesson 3 • Multi-Source Intelligence Fusion
Integrates OSINT, behavioural, financial, and technical data streams into a single coherent picture. Fusion analysis is the hallmark of advanced investigative competence.
Lesson 4 • Cryptocurrency and Financial Tracing
Covers blockchain analysis techniques for tracing digital asset flows between wallets and exchanges. Financial tracing exposes funding networks and monetisation schemes.
Lesson 5 • Dark Web and Encrypted Platform Investigation
Introduces safe navigation of anonymised networks and encrypted communication platforms. Students learn to collect intelligence while protecting their own operational security.
Chapter 8HideHide detailsSee detailsCase Management and Investigative Reporting
Case Management and Investigative Reporting
Lesson 1 • Case Intake and Scoping
Covers structured intake procedures for defining objectives, constraints, and success criteria. Clear scoping prevents scope creep and aligns investigative effort with client needs.
Lesson 2 • Analytical Writing for Investigators
Develops concise, evidence-backed writing skills tailored to investigative audiences. Strong analytical writing transforms raw findings into actionable criminal intelligence products.
Lesson 3 • Structuring the Investigative Report
Provides a professional report template covering executive summary, findings, and appendices. A well-structured report maximises impact and supports downstream decision-making.
Lesson 4 • Briefing Stakeholders and Handoff
Covers verbal briefing techniques and formal handoff procedures for completed investigations. Effective briefings ensure findings are understood and acted upon by decision-makers.
Lesson 5 • Managing Evidence and Workflows
Introduces case management systems for tracking evidence, tasks, and team contributions. Systematic workflow management ensures nothing is missed in complex, multi-thread cases.
Your valid completion certificate
This course is for you:
Journalists: to verify sources and expose wrongdoing through digital evidence.
HR professionals: to conduct workplace investigations with rigour and legal defensibility.
Fraud analysts: to trace financial activity and uncover deceptive online behaviour.
Private investigators: to expand their practice into structured digital case work.
Cybersecurity professionals: to add human-focused criminal intelligence skills to technical expertise.
Career changers: to enter the growing field of digital investigations from any background.
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