Anomaly detection courses can help you learn statistical methods, machine learning techniques, and data preprocessing strategies. You can build skills in identifying outliers, implementing clustering algorithms, and applying time series analysis. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, as well as software for data visualization, which enhance your ability to analyze and interpret complex datasets.

Skills you'll gain: Security Information and Event Management (SIEM), Threat Management, Cyber Risk, Cyber Security Policies, Data Security, Personally Identifiable Information, Email Security, Cyber Threat Intelligence, Threat Detection, Information Privacy, General Data Protection Regulation (GDPR), Data Governance, IT Automation, Event Monitoring, Automation
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Model Training, Incident Response, Machine Learning Methods, Anomaly Detection, Applied Machine Learning, Continuous Monitoring, AI Security, Cryptographic Protocols, Network Security, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Network Architecture, Unsupervised Learning, Supervised Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Scientific Visualization, Applied Machine Learning, Model Training, Classification Algorithms, Predictive Modeling, Deep Learning, Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Diagnostic Tests, Python Programming
★ 4.9 (10) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Computer Vision, Model Optimization, Performance Analysis, Performance Measurement, Data Pipelines, Quality Assessment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MITRE ATT&CK Framework, AI Security, Cyber Security Strategy, Cybersecurity, Generative Model Architectures, Generative Adversarial Networks (GANs), Threat Detection, Responsible AI, Artificial Intelligence, Anomaly Detection
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Preprocessing, Machine Learning Methods, Data Mining, Applied Machine Learning, Feature Engineering, Data Analysis, Correlation Analysis, Algorithms
★ 4.8 (12) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Event Monitoring, OSI Models, Network Monitoring, Network Protocols, Cyber Threat Intelligence, Network Analysis, TCP/IP, Distributed Denial-Of-Service (DDoS) Attacks, Threat Detection, General Networking, Network Security, Incident Response, Anomaly Detection, Command-Line Interface
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Security Information and Event Management (SIEM), Prompt Engineering, ChatGPT, AI Workflows, Agentic Workflows, Cyber Threat Intelligence, Incident Response, AI Security, Generative AI Agents, AI Integrations, Vulnerability Assessments, Vulnerability Scanning, Cloud Security, Threat Detection, Continuous Monitoring, Microsoft Azure, Event Monitoring, OpenAI, Incident Management, Code Review
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Failure Analysis, Applied Machine Learning, Model Training, AI Workflows, Model Optimization, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Model Evaluation, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Model Training, Supervised Learning, Predictive Modeling, Machine Learning
★ 4 (26) · Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Intrusion Detection and Prevention, Linux Commands
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra
Intermediate · Course · 1 - 3 Months