Threat Hunting with Data Science and Splunk for Beginners

Course Overview

• Course Title: Threat Hunting with Data Science and Splunk for Beginners
• Instructor: Mohammad Mirasadollahi
• Target Audience:
  • Beginners in cybersecurity
  • Individuals with basic knowledge of Splunk and SPL
  • Those interested in data science applications in cybersecurity
• Prerequisites:
  • Basic Knowledge of Network and Cybersecurity
  • Basic Knowledge of Splunk
  • Basic Knowledge of Splunk Search Processing Language (SPL)

Curriculum Highlights

• Key Topics Covered:
  • Data Science Fundamentals for Cybersecurity
  • Cybersecurity Threat Detection Techniques
  • Hunting 0-Day Attacks
  • Anomaly Detection with Splunk and MLTK app
• Key Skills Learned:
  • Integrating data science techniques with Splunk
  • Identifying anomalous user access patterns
  • Detecting suspicious network traffic
  • Uncovering malware activities
  • Building and deploying custom machine learning models for threat detection

Course Format

• Duration: 1.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 20 downloadable resources
  • Access on mobile and TV
  • Certificate of completion