EC-CouncilIntermediate · 4 hours

Data Science for Cybersecurity

What this course answers

A four-hour intermediate course on applying data science to cyber threats. You collect and preprocess security data, apply supervised and unsupervised machine learning to threat detection, use neural networks and NLP to spot malicious patterns in problems such as malware and phishing, and evaluate models with ethics and regulation in mind.

For
Security professionals and analysts who want to apply machine learning to threat detection.
Time
4 hours
Last verified
25 Sep 2026

What you will be able to do

  • Understand the threat landscape and where data science helps defence
  • Collect, preprocess and analyse cybersecurity data
  • Apply machine learning techniques to threat detection
  • Use neural networks and NLP to identify malicious patterns
  • Evaluate model performance with ethics and compliance in mind

Curriculum

  1. 01Data Handling and Initial Analysis in Cybersecurity

    Lesson list to be added.

  2. 02Supervised Learning Basics for Cybersecurity

    Lesson list to be added.

  3. 03Advanced Supervised Learning Applications

    Lesson list to be added.

  4. 04Unsupervised Learning for Cybersecurity

    Lesson list to be added.

  5. 05Neural Networks and NLP in Cybersecurity

    Lesson list to be added.

  6. 06Real-world Applications, Ethics, and Regulations

    Lesson list to be added.

Prerequisites

  • Not stated on the course page

Frequently asked questions

Do I get a certificate?

Yes. EC-Council's CodeRed platform includes a validation of completion.

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