Learn threat hunting techniques, log analysis, and ML-based detection to find hidden threats like a SOC analyst
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The curriculum bridges the gap between Splunk log preparation and Jupyter Notebook analysis, providing a practical pipeline for security data science.
Instruction includes specific unsupervised learning techniques, such as Isolation Forest and DBScan, applied directly to threat hunting use cases.
The total runtime of approximately 270 minutes limits the depth of the technical exploration compared to more extensive security programs.
The curriculum aligns with the target audience of SOC analysts and blue team engineers through its focus on Splunk and ML-based detection.