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Data to Defense A Guide to Cybersecurity Analytics
#1
[Image: 359020115_tuto.jpg]
759.8 MB | 00:05:42 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Introduction to cybersecurity analytics (21.13 MB)
2 -Importance of data-driven security (24.37 MB)
3 -Role of cybersecurity analysts (26.21 MB)
1 -Types of data in cybersecurity (12.11 MB)
2 -Data collection methods (46.76 MB)
3 -Wireshark data collection demonstration (29.11 MB)
4 -Windows event viewer demo (43.43 MB)
1 -Data normalization and enrichment (24.4 MB)
2 -Data cleaning techniques (39.8 MB)
3 -Common Code for ETL processing (17.84 MB)
1 -Statistical analysis (20.98 MB)
2 -Data visualization (55.88 MB)
1 -Introduction to machine learning (21.86 MB)
2 -Learning Algorithms (31.97 MB)
3 -Model evaluation and tuning (15.96 MB)
4 -Building ML Models for Cybersecurity (26.35 MB)
5 -Applying Machine Learning to Cybersecurity (20.13 MB)
1 -Threat intelligence sources (23 MB)
2 -Threat hunting techniques (21.68 MB)
1 -SIEM architecture and components (40.09 MB)
2 -SIEM use cases (34.99 MB)
3 -demo of SIEM tool (88.8 MB)
1 -Automation and orchestration Tools and Frameworks (23.11 MB)
2 -Uses cases with automation and orchestration (30.8 MB)
1 -Wrap up (19.03 MB)]
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