Data Analysis for Network Traffic Analysis Course

This course covers the fundamentals of connection and statistical and event-based analysis of network traffic data.

2 hours, 22 minutes

Course description

Having access to network traffic data is of very limited value without the ability to analyze it. In this course, you will learn about connection-based analysis, statistical analysis and event-based analysis, their relative pros and cons for different monitoring situations, and tools and techniques for performing them effectively.


Snort Demo

Video - 00:12:00

Demonstration of the use of Python to generate Snort signatures for network traffic analysis.

Video - 00:18:00

Demonstration of the use of YARA rules with scapy for packet capture analysis.
Event-Based Analysis

Video - 00:42:00

Discussion of event-based analysis and its uses for network traffic analysis.
Statistical Analysis

Video - 00:22:00

Discussion of statistical analysis, some techniques and its uses for network traffic analysis.
Connection Analysis

Video - 00:09:00

Discussion of connection analysis and its uses for network traffic analysis.
Scapy Demo

Video - 00:21:00

Demonstration of some of the features of scapy, Python's PCAP analysis package.
Tools for Data Analysis

Video - 00:11:00

Discussion of the wide range of tools that can be used for traffic analysis.
Introduction to Network Data Analysis

Video - 00:07:00

A brief introduction to data analysis of network traffic.

Meet the author

Howard Poston

Howard Poston is a copywriter, author, and course developer with experience in cybersecurity and blockchain security, cryptography, and malware analysis. He has an MS in Cyber Operations, a decade of experience in cybersecurity, and over five years of experience as a freelance consultant providing training and content creation for cyber and blockchain security. He is also the creator of over a dozen cybersecurity courses, has authored two books, and has spoken at numerous cybersecurity conferences. He can be reached by email at or via his website at

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