Data Analysis for SOC Survey


I'll walk through the work involved with performing the supporting analysis for the 2020 and 2021 SOC Survey. These surveys represent a collection of hundreds of detailed responses then the follow-on assessment. I'll use the constructed Jupyter notebook from 2020 to show how to formulate the data normalization and analysis. The 2021 data, which was collected using a different survey system will be used for the exercises, and provide a set a tasks for you to accomplish the objectives set forth. I'll share all the "mistakes" I made and how I figure out how to move past them, to provide optimal insight for your training and development.

Background Knowledge
Familiar with Python, Jupyter


Christopher Crowley has 20 years of experience managing and securing networks,
beginning with his first job as an Ultrix and VMS systems administrator at 15 years old.
Today, Crowley is a Senior Instructor at the SANS Institute and the course author for the culmination of his thoughts on effective cybersecurity operations.
He works with a variety of organizations across industries providing cybersecurity
technical analysis, developing and publishing research, sharing expert security insights
at conferences, and chairing security operations events. He has provided training to
thousands of students globally.

Crowley holds a multitude of cybersecurity industry certifications and provides
independent consulting services specializing in effective computer network defense via
Montance®, LLC, based in Washington, DC.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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