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"

  • 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

  • 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

  • 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

  • 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

  • Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Forecasting, Data Processing, Anomaly Detection

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

  • Status: New

    Skills you'll gain: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Convolutional Neural Networks, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture

  • Johns Hopkins University

    Skills you'll gain: Intrusion Detection and Prevention, Model Evaluation, Incident Response, Threat Detection, Computer Security Incident Management, Cyber Threat Intelligence, Distributed Denial-Of-Service (DDoS) Attacks, Event Monitoring, Cybersecurity, Incident Management, Cyber Security Strategy, Threat Management, Model Training, Anomaly Detection, Continuous Monitoring, Cyber Security Policies, Security Management, System Monitoring, Network Analysis, Data Analysis

  • Status: New

    Macquarie University

    Skills you'll gain: Responsible AI, Incident Response, AI Security, Computer Security Incident Management, Incident Management, Fraud detection, Threat Detection, Security Management, Anomaly Detection, Security Testing, Cyber Attacks, Threat Modeling, Data Ethics, Cybersecurity, Cyber Operations, Network Security, Malware Protection, Crisis Management, Machine Learning, Generative Adversarial Networks (GANs)

  • Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control

  • Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, Dashboard, Responsible AI, Dashboard Creation, Interactive Data Visualization, Data Ethics, Generative AI, 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

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, AI literacy, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Exploitation techniques, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Augmented and Virtual Reality (AR/VR), Vulnerability Management, Model Evaluation, Incident Management