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Data Integrity And Evidence Handling in Digital Forensics - Course Online (W60)

Overview only: the source contains a course description and syllabus, but no linked lessons or assessments. Strengthen the way you collect, preserve, and handle digital evidence. Study data integrity and evidence-handling workflows that support traceable, well-documented investigations.

Instructor · Kunal Dutt

Modules:
1
Lessons:
1

eForensics learning

Practical skills.
Verified progress.

What you'll learn

  • Explain the role of data integrity in digital investigations.
  • Describe methods for preserving evidence and documenting its handling.
  • Review the evidence-handling workflow in the original syllabus.

Prerequisites

Computer Systems: Basic understanding of hardware components, operating systems, file systems, and network protocols. Networking Concepts: Familiarity with networking fundamentals like IP addresses, TCP/IP protocols, and DNS. Data Storage: Knowledge of data storage devices and common file formats, along with data recovery techniques. Programming: Proficiency in a programming language, such as Python, for task automation and data analysis. Cybersecurity Concepts: Understanding of common attack vectors, malware types, and network security. Legal and Ethical Considerations: Awareness of laws, regulations, and standards related to digital evidence and data protection. Critical Thinking: Strong analytical skills, logical reasoning, and problem-solving abilities. Equipment and software: PC, tablet, smartphone Internet connection

Course access

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