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Data Recovery

mini-module tag Mini-Module

This comprehensive Data Recovery module provides participants with essential skills and techniques needed to efficiently retrieve lost, corrupted, or inaccessible data. Through hands-on exercises and real-world scenarios, learners will explore various data recovery methodologies, including software and hardware tools, file system structures, and best practices for preventing data loss. The module also covers how to handle data recovery in different operating systems and storage devices.

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Summary

The Data Recovery module is designed for

  • Cybersecurity Analysts, - Forensic Analysts, - Systems Administrators, and
  • Backup and Storage Administrators. Throughout this module, students will develop
  • Develop a solid understanding of data recovery techniques and methodologies, - Gain hands-on experience with popular data recovery tools and software, - Learn to identify and resolve issues related to data loss and corruption, and
  • Become proficient in retrieving data from various storage devices and file systems.

Recommended prior knowledge:

  • Basic understanding of computer systems and storage devices

  • Familiarity with operating systems such as Windows, macOS, or Linux

Introduction to Data Recovery


Today's technology constantly generates, processes and stores data. The volume of this data grows over time, and the technologies used become increasingly dependent on it. As a result, data protection has become more critical than ever. Data security is a key concern because potential data loss can disrupt technology operations. As technology advances, the importance of "data recovery" has become critical in preventing data loss and ensuring data security.

This module will cover how to store, process and erase data. It will also cover the requirements of digital forensics, how data recovery and data carving are performed and the precautions to be taken during these processes.

The module will also include a discussion of the advantages of file systems and file structures for data recovery and digital forensics, and how these advantages can be used effectively. Practical applications of these concepts will also be explored.

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