Course Outline
Introduction to Digital Forensics
- Overview of digital forensics
- Importance of forensic imaging
- Legal considerations and compliance
Understanding Tableau Forensic Imager
- Introduction to Tableau hardware and software
- Overview of features and capabilities
- Setting up the Tableau Forensic Imager
Preparing for Imaging
- Evidence handling and chain of custody
- Understanding storage media types and file systems
- Setting up a forensic workstation
Imaging Process with Tableau Forensic Imager
- Detailed walkthrough of the imaging process
- Selecting and using different imaging options
- Working with advanced features
Ensuring Data Integrity
- Hashing algorithms and verification
- Write-blocking technology
- Documentation and reporting
Advanced Imaging Techniques
- Dealing with damaged or failing drives
- Networked acquisitions
- Scripting and automation
Analyzing Forensic Images
- Introduction to forensic analysis tools
- Mounting and accessing image files
- Basic data recovery techniques
Summary and Next Steps
Requirements
- Basic understanding of computer hardware and software
- Familiarity with digital storage devices and file systems
Audience
- Digital forensic investigators
- Cybersecurity and IT professionals
Testimonials (5)
As someone new to Tableau it was a perfect introduction to it
PEter - Tech Northwest Skillnet
Course - Tableau Fundamentals
The training is very informative and interactive in terms of the hands-on activities.
John Marnel San Pedro - Thakral One Inc.
Course - Data analysis with Tableau
Every thing
aly - Commercial International Bank
Course - Tableau Fundamentals to Advanced
Great knowledge of the content, good examples, great rapport with the class and very understanding if anyone needed extra help. Willing to stop and go back to explain things again and in a manner in which could be easily understood.
Martina O'Neill - Tech NorthWest Skillnet
Course - Tableau Advanced
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.