- Malware Protection
- Continuous Monitoring
- Network Security
- Performance Testing
- Supervised Learning
- Threat Detection
- Machine Learning Methods
- Anomaly Detection
- Machine Learning
- Cybersecurity
- Intrusion Detection and Prevention
- System Design and Implementation
Advanced Malware and Network Anomaly Detection
Completed by Devavrata Patel
August 11, 2025
11 hours (approximately)
Devavrata Patel's account is verified. Coursera certifies their successful completion of Advanced Malware and Network Anomaly Detection
What you will learn
Understand various types of malware and apply foundational analysis techniques to effectively detect and classify them.
Implement advanced machine learning algorithms, including clustering and decision trees, for efficient malware detection.
Explore anomaly detection techniques using botnet data and learn how to analyze network traffic for unusual patterns.
Collaborate and present research findings on current trends in network anomaly detection, enhancing communication and analytical skills.
Skills you will gain
