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© 2019 by Level Effect, LLC. All Rights Reserved.

Cyber Analytics with Python

Course Outline

The world’s most valuable resource is no longer oil, but data. Just like oil, we need to mine data to understand its characteristics to derive insights and ultimately, value. In this course, we will focus on cyber based analysis and analytics to understand the trends and activity within our enterprise networks. Students will take on the role of a Cyber Data Analyst to identify potentially malicious activity that has evaded modern preventative security technologies.

Who is this course for?

This course is designed for professionals who would like to improve their analysis and analytic development skills using open source tools and capabilities.

  • IT Professionals interested in analytics and cyber security

  • Security Operations Personnel wanting to automate their analysis

  • Professionals who work with network and system telemetry data at scale

Prerequisites

This course assumes the student has little to no Python knowledge/experience. Students must have the following:

  • Fundamental understanding of networking concepts

  • Basic familiarity with command line usage

Course Overview

Cyber Analytics with Python provides a holistic exposure to data analysis, analytic tools, analytic development, and the presentation of derived analytic output.

  • Python Scripting

  • Exploratory Data Analysis

  • Regular Expressions

  • Data Visualizations in Kibana

  • Streaming & Batch Analytics

  • Database Types and Use-cases

  • Working with Web APIs

  • Data Enrichment (IP Geo)

  • Elasticsearch/Kibana

  • MITRE ATT&CK Framework

  • Malicious Indicators and Techniques

  • Threat Hunting Concepts

  • Collection & Log Management

  • Analysis Vs. Analytics

  • Malicious Domain Detection

What you'll get out of it

  • 50/50 Lab time to lecture ratio

  • Comfort using Python for data exploration, analysis, and analytic development

  • Use of Elasticsearch and Kibana for log aggregation, analysis, and presentation

  • Ability to map known indicators and use-cases into a functional analytic

  • Awareness of common database types and which class of data they’re best suited for

  • Working with third party services via Web APIs to enrich and classify data

  • Data visualization and presentation

Students need to bring:

  • Laptop with at least 4GB of free RAM and 40GB hard disk space

  • Appropriate permissions to configure and install software

Students Receive:

  • Certificate of completion

  • USB drive with labs and related material

  • Relevant text material

Cost & Delivery:

  • 5 day bootcamp

  • 8 am - 5 pm Monday through Friday

  • $2,800 per student

  • 10% group discount

  • Delivered at Level Effect HQ or client onsite

Interested?