Anomaly Detection

Anomaly Detection is a data analysis process that identifies data points, events, or observations that deviate from the established norm or behavior. Coursera's Anomaly Detection catalogue schools you on the advanced techniques used to detect abnormal patterns or anomalies in data. You'll learn about different types of anomalies and the statistical techniques used to distinguish them, how to build predictive models for anomaly detection, and how to apply these models in various fields such as cybersecurity, finance, health, and many more. This skill will also equip you with the ability to use machine learning and AI for detecting anomalies, enhancing your capabilities as a data scientist, software engineer or any professional dealing with big data.

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Results for "Anomaly Detection"

  • Board Infinity

    Skills you'll gain: Anomaly Detection, Feature Engineering, Fraud detection, Unsupervised Learning, Continuous Monitoring, Autoencoders, MLOps (Machine Learning Operations), Machine Learning Methods, Statistical Machine Learning, Model Training, Time Series Analysis and Forecasting, System Monitoring, Applied Machine Learning, Model Deployment, Statistical Analysis, Taxonomy

    Beginner · Course · 1 - 4 Weeks

  • Johns Hopkins University

    Skills you'll gain: Anomaly Detection, Malware Protection, Threat Detection, Network Analysis, AI Security, Cybersecurity, Model Evaluation, Network Security, Machine Learning Methods, Classification Algorithms, Microsoft Windows

    4.7 stars, 24 reviews, Intermediate, Course, 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Anomaly Detection, Microsoft Azure, Event Monitoring, Application Performance Management, Incident Management, Time Series Analysis and Forecasting, Generative AI, Query Languages, Data Integration, Process Optimization, Data Analysis, User Feedback

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Model Evaluation, Threat Detection, Statistical Analysis, Model Optimization, Statistical Hypothesis Testing, Trend Analysis, Real Time Data, Statistical Methods, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Model Deployment, Anomaly Detection, Model Training, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Scientific Visualization, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Data Preprocessing, Machine Learning, Development Environment

    3.8 stars, 18 reviews, Intermediate, Guided Project, Less Than 2 Hours

  • DeepLearning.AI

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Anomaly Detection, Embeddings, LLM Application, Database Application, Large Language Modeling, Generative AI, Image Analysis

    4.2 stars, 22 reviews, Beginner, Project, Less Than 2 Hours

  • University at Buffalo

    Skills you'll gain: Model Based Systems Engineering, Peer Review, Programmable Logic Controllers, Systems Engineering, Product Lifecycle Management, Intrusion Detection and Prevention, Security Controls, Performance Measurement, Collaborative Software, Control Systems, Continuous Monitoring, Anomaly Detection, Manufacturing and Production, Machine Controls, Incident Response, Digital Transformation, Cyber Attacks, Vulnerability Assessments, Cybersecurity, Manufacturing Operations

    4.6 stars, 7.1K reviews, Beginner, Specialization, 3 - 6 Months

  • Microsoft

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Microsoft Azure, Data Ethics, Natural Language Processing, AI Workflows, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Model Training, Regression Analysis, Artificial Intelligence, AI literacy, Predictive Modeling, Machine Learning, No-Code Development

    4.5 stars, 1.7K reviews, Beginner, Specialization, 3 - 6 Months

  • SkillUp

    Skills you'll gain: Due Diligence, Financial Regulation, Fraud detection, Financial Industry Regulatory Authorities, Regulatory Compliance, Threat Detection, Financial Regulations, Risk Analysis, Continuous Monitoring, Compliance Reporting, Compliance Management, Regulatory Requirements, Customer Analysis, Anomaly Detection, Record Keeping

    Beginner · Course · 1 - 4 Weeks

  • Edureka

    Skills you'll gain: DevSecOps, Open Web Application Security Project (OWASP), Application Security, Security Testing, Secure Coding, Continuous Delivery, Continuous Integration, Containerization, Cloud Security, Infrastructure as Code (IaC), Docker (Software), Vulnerability Scanning, Security Controls, Amazon Web Services, Terraform, Threat Detection, System Monitoring, Incident Response, Identity and Access Management, Anomaly Detection

    Intermediate · Specialization · 1 - 3 Months

  • Amazon Web Services

    Skills you'll gain: Dashboard Creation, Anomaly Detection, Generative AI, Vector Databases, Retrieval-Augmented Generation, Performance Tuning, Amazon CloudWatch, System Monitoring, Embeddings, Continuous Monitoring, MLOps (Machine Learning Operations), Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Web Services, Cloud Computing, Software Development, Machine Learning, Data Pipelines, Natural Language Processing

    Advanced · Course · 1 - 3 Months

  • Microsoft

    Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, Dashboard, Responsible AI, Dashboard Creation, Interactive Data Visualization, Generative AI, Data Ethics, Infographics, Applied Machine Learning, Data Visualization, Anomaly Detection, Time Series Analysis and Forecasting, Root Cause Analysis, Model Evaluation, AI literacy, Risk Modeling, Predictive Analytics, Automation

    4.3 stars, 216 reviews, Intermediate, Professional Certificate, 3 - 6 Months