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.
29credentials
1online degree
81courses

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Explore the Anomaly Detection Course Catalog

  • Status: Preview

    Skills you'll gain: Incident Management, Crisis Management, Security Information and Event Management (SIEM), Data Security, Cybersecurity, Cyber Attacks, Cyber Operations, Data Processing, Security Awareness, Anomaly Detection, Data Science, Data Analysis, Authentications, Time Series Analysis and Forecasting

  • Status: Free Trial

    Skills you'll gain: Analytics, Anomaly Detection, Machine Learning

  • Status: Preview

    Skills you'll gain: Generative AI, Large Language Modeling, Data Ethics, LLM Application, Prompt Engineering, Responsible AI, Feature Engineering, Artificial Intelligence, Anomaly Detection, Data Synthesis, Information Privacy

  • Status: Preview

    Pontificia Universidad Católica del Perú

    Skills you'll gain: Business Analytics, Dimensionality Reduction, Data Processing, Analytics, Data Cleansing, Data Transformation, Anomaly Detection, Project Management Life Cycle, Business Analysis, Databases, R (Software), R Programming, Data Analysis, Data Quality, Data Science, Big Data, Exploratory Data Analysis, Statistical Programming, Supervised Learning, Software Installation

  • Status: Free

    Skills you'll gain: Threat Detection, Anomaly Detection, Network Security, General Networking, Network Monitoring, Network Troubleshooting, Real Time Data, Security Strategy, Network Analysis, Network Protocols, Data Capture

  • Status: Free Trial

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)

  • Status: Free Trial

    Skills you'll gain: Incident Response, Computer Security Incident Management, Cyber Threat Intelligence, Intrusion Detection and Prevention, Anomaly Detection, Cyber Security Strategy, Threat Detection, Network Analysis, Network Security, Network Monitoring, NIST 800-53, Cloud Security

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Data Cleansing, AI Product Strategy, Data Analysis, Responsible AI, Data Processing, Power BI, Exploratory Data Analysis, Anomaly Detection

  • Skills you'll gain: MITRE ATT&CK Framework, Cyber Threat Intelligence, Cyber Security Strategy, Cybersecurity, Threat Modeling, Cyber Attacks, Threat Detection, Responsible AI, Artificial Intelligence, Anomaly Detection, Innovation

  • Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Supervised Learning, Predictive Modeling, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Anomaly Detection, Manufacturing Processes, Data Collection, Analytics, Data Storage, Manufacturing Operations, Process Engineering, Systems Engineering, Industrial Engineering, Analysis, Data Cleansing, Digital Transformation, Big Data, Computing Platforms

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Supervised Learning, Big Data, Data Science, Machine Learning Algorithms, Exploratory Data Analysis, Classification And Regression Tree (CART), Data Analysis, Analysis, Statistical Analysis, Machine Learning, Algorithms, Bayesian Statistics, Artificial Neural Networks, Scalability