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Preparation for Cybersecurity Data Science

Set up your cybersecurity lab and acquire the background knowledge essential to success in Cybersecurity Data Science.

9 videos  //  42 minutes of training

Course description

This course is all about preparing you for fluent and safe handling of malware and employment of Machine Learning to analyze it. You will set up a lab environment for handling and analyzing malware and acquire a basic toolkit of Machine Learning techniques to enable you to tackle the vast majority of Cybersecurity Data Science problems.

Course syllabus

OverviewDuration: 1:34

Setting Up a Virtual LabDuration: 8:11

Working with Virtual Python EnvironmentsDuration: 3:55

Basic Model AssessmentDuration: 5:35

Structured Learning with XGBoostDuration: 2:35

Natural Language ProcessingDuration: 4:11

Anomaly Detection with Isolation ForestDuration: 5:31

Hyperparameter TuningDuration: 6:30

Generating Text Using Machine LearningDuration: 4:03

Meet the author

Emmanuel Tsukerman

LinkedIn

Dr. Tsukerman graduated from Stanford University and UC Berkeley. In 2017, his machine-learning-based anti-ransomware product won Top 10 Ransomware Products by PC Magazine. In 2018, he designed a machine-learning-based malware detection system for Palo Alto Network's WildFire service (over 30,000 customers). In 2019, Dr. Tsukerman authored the Machine Learning for Cybersecurity Cookbook and launched Infosec Skills Cybersecurity Data Science learning path.

You're in good company

"Comparing Infosec to other vendors is like comparing apples to oranges. My instructor was hands-down the best I’ve had." 

James Coyle

FireEye, Inc.

"I knew Infosec could tell me what to expect on the exam and what topics to focus on most."

Julian Tang

Chief Information Officer

"I’ve taken five boot camps with Infosec and all my instructors have been great."

Jeffrey Coa

Information Security Systems Officer

Plans and pricing

Personal

$299

Annually

Teams

$599 / license

Annually. Includes all content plus team admin and reporting.