Python for Network Forensics 1.1: The Course Overview

Daryl Bennett introduces a digital forensics course, sharing his background in cybersecurity and software development. The course covers network forensics, Windows and Linux systems, volatile memory capture, and Python techniques. Prerequisites include Python environments, a virtual machine, and a text editor. The course aims to expand Python knowledge and forensic investigation skills.

What is the professional background of the course instructor, Daryl Bennett?

• He is a network administrator at Microsoft.

• He is a data scientist at Facebook.

• He is a cyberspace assessment specialist at Boeing.

• He is a software engineer at Google.

Which programming languages does the instructor have experience in?

• Swift, Kotlin, and Go

• Perl, R, and MATLAB

• C, Python, and Java

• JavaScript, Ruby, and PHP

What is the primary focus of the course content?

• Digital forensics using Python

• Machine learning and AI

• Web development and design

• Database management and SQL

What Python versions are required for this course?

• Python 1.5 and 2.0

• Python 2.7 and 3

• Python 3.8 and 3.9

• Python 3.5 and 3.6

What foundational knowledge is necessary before taking this course?

• Advanced machine learning techniques

• Basic digital forensics and Python

• Web development frameworks

• Cloud computing and virtualization