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    • Anomaly Detection

    Anomaly Detection Courses Online

    Explore anomaly detection methods for identifying unusual patterns in data. Learn to use machine learning algorithms for fraud detection and network security.

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    Explore the Anomaly Detection Course Catalog

    • G

      Google Cloud

      Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution

      Skills you'll gain: Anomaly Detection, Google Cloud Platform, Application Deployment, Image Analysis, Cloud Computing, Predictive Analytics, Computer Vision

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Features and Boundaries

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Machine Learning Algorithms, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Ciberseguridad de Google

      Skills you'll gain: Vulnerability Management, Threat Modeling, Incident Response, Intrusion Detection and Prevention, Business Risk Management, Network Security, Operating Systems, Threat Detection, Risk Management, Security Information and Event Management (SIEM), Computer Security Incident Management, Security Awareness, Event Monitoring, Network Architecture, Security Controls, Cyber Risk, Linux, TCP/IP, Cybersecurity, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6.8K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Detect, Respond, and Recover from Cloud Cybersecurity Attacks

      Skills you'll gain: Intrusion Detection and Prevention, Computer Security Incident Management, Cyber Threat Hunting, Cyber Attacks, Cybersecurity, Cyber Operations, Continuous Monitoring, Event Monitoring, Disaster Recovery, Incident Management, Security Information and Event Management (SIEM), Threat Detection, Cloud Security, Security Controls, Threat Management, System Monitoring, IT Automation, Record Keeping, Problem Management

      3.9
      Rating, 3.9 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Detecting and Mitigating Cyber Threats and Attacks

      Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Incident Response, Computer Security Incident Management, Cybersecurity, Threat Management, Data Security, Cyber Attacks, Malware Protection, Endpoint Security, Network Security, Firewall

      4.7
      Rating, 4.7 out of 5 stars
      ·
      456 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Cybersecurity for Business

      Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Open Web Application Security Project (OWASP), Incident Response, Penetration Testing, Computer Security Incident Management, Distributed Denial-Of-Service (DDoS) Attacks, Cybersecurity, Threat Management, Data Security, Authentications, Cyber Attacks, Security Testing, Cloud Security, Security Strategy, Computer Security Awareness Training, Malware Protection, Risk Management, Vulnerability Assessments, Enterprise Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Methods

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Big Data, Supervised Learning, Machine Learning Methods, Text Mining, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Anomaly Detection, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Statistical Analysis, Predictive Modeling, Exploratory Data Analysis, Algorithms, Artificial Neural Networks

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      58 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      BIM Application for Engineers

      Skills you'll gain: Autodesk Revit, Building Information Modeling, Autodesk, Construction Estimating, Simulation and Simulation Software, 3D Modeling, Construction Management, Data Integration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      502 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Text Mining and Analytics

      Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Analytics, Data Analysis, Unsupervised Learning, Probability & Statistics, Regression Analysis, Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      735 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      219 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Periodismo digital y combate a las fake news

      Skills you'll gain: Journalism, Research, Investigation, Media and Communications, Writing, Interviewing Skills, Data Security, Report Writing, Public Affairs, Cybersecurity, Storytelling, Threat Detection, Ethical Standards And Conduct, Diversity Awareness, Digital Communications, Editing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      657 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Astro 101: Black Holes

      Skills you'll gain: Physics, Storytelling, Scientific Methods, Science and Research, General Science and Research, Simulations, Scientific Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular anomaly detection courses

    • Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution: Google Cloud
    • Features and Boundaries: Columbia University
    • Ciberseguridad de Google: Google
    • Detect, Respond, and Recover from Cloud Cybersecurity Attacks: Google Cloud
    • Detecting and Mitigating Cyber Threats and Attacks: University of Colorado System
    • Cybersecurity for Business: University of Colorado System
    • Data Mining Methods: University of Colorado Boulder
    • BIM Application for Engineers: National Taiwan University
    • Text Mining and Analytics: University of Illinois Urbana-Champaign
    • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University

    Frequently Asked Questions about Anomaly Detection

    Anomaly detection is an important process in data mining that pinpoints complex, non-conforming patterns and outliers in a specific dataset. The process can identify events that deviate from the normal behavior expected from that dataset. The process can pick out everything from small software or hardware errors or glitches and hacks to serious machine vulnerabilities and critical zero-day attacks. ‎

    It’s important to learn about anomaly detection if you plan to work in the field of machine learning and artificial intelligence (AI). Anomaly detection is a critical security tool that can identify significant fraud, network intrusions, and other events that can substantially disrupt a business or entire industry’s technological delivery system.‎

    The types of jobs you can get by learning about anomaly detection can be found in all types of fields, including banking, financial services, insurance, retail, manufacturing, IT, government and defense, and health care. You might study anomaly detection to become a data scientist, big data engineer, machine learning developer, or fraud detection analyst within those fields. Studying the subject can open up opportunities for you in many companies that need to have data sources monitored for potential security threats and attacks. If you study anomaly detection, you also may be able to find a career in companies that need forensic accountants and fraud detection engineers to uncover unusual and sometimes suspicious activities.‎

    Online courses can help you learn anomaly detection by giving you a better grasp of the broad subject of machine learning, including deep learning. Learning about anomaly detection online may give you the cutting-edge skills to teach you to build an anomaly detection model using deep learning and advanced technology such as Keras API with Tensorflow 2. You also may be able to learn how to create interactive charts and plots using Plotly Python and Seaborn for data visualization.‎

    Online Anomaly Detection courses offer a convenient and flexible way to enhance your existing knowledge or learn new Anomaly Detection skills. With a wide range of Anomaly Detection classes, you can conveniently learn at your own pace to advance your Anomaly Detection career.‎

    When looking to enhance your workforce's skills in Anomaly Detection, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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