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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

    • C

      Coursera Project Network

      Data Balancing with Gen AI: Credit Card Fraud Detection

      Skills you'll gain: Generative AI, Keras (Neural Network Library), Tensorflow, Deep Learning, Dimensionality Reduction, Applied Machine Learning, Anomaly Detection, Data Processing, Data Visualization, Data Synthesis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Artificial Intelligence for Breast Cancer Detection

      Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Oncology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Radiography, Epidemiology, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Wireshark for Security: Detect Network Anomalies

      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

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Machine Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Data Validation, Performance Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      SIEM Splunk Hands-On Guide

      Skills you'll gain: Splunk, Security Information and Event Management (SIEM), Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Dashboard, Incident Response, Threat Detection, User Accounts, Data Transformation, Cybersecurity, Machine Learning, Performance Tuning, Data Visualization, Event Monitoring, Data Manipulation, Data Analysis, Identity and Access Management, Statistical Analysis, Query Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      292 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Analysis with Generative AI

      Skills you'll gain: Generative AI, Anomaly Detection, Predictive Modeling, Text Mining, Predictive Analytics, Advanced Analytics, Data Cleansing, Prompt Engineering, Natural Language Processing, Unstructured Data, Data Analysis, Forecasting, Data Quality, Time Series Analysis and Forecasting, Exploratory Data Analysis, Software Documentation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Cisco Learning and Certifications

      Security Operations Center (SOC)

      Skills you'll gain: Threat Modeling, Threat Detection, Cyber Operations, Cybersecurity, Security Information and Event Management (SIEM), Incident Response, Security Management, Computer Security Incident Management, Cyber Attacks, Event Monitoring, Network Monitoring, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      272 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Device-based Models with TensorFlow Lite

      Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      653 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Managing Network Security

      Skills you'll gain: Network Security, Network Administration, Security Management, Firewall, Network Monitoring, Cybersecurity, General Networking, Cyber Security Assessment, Network Protocols, Computer Networking, Virtual Private Networks (VPN), Wireless Networks, Vulnerability Assessments, Cloud Security, System Monitoring, Security Awareness, TCP/IP, Intrusion Detection and Prevention, Cloud Computing, Threat Detection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      228 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Surveillance Systems: Analysis, Dissemination, and Special Systems

      Skills you'll gain: Epidemiology, Chronic Diseases, Public Health, Health Care, Data Analysis, Health Systems, Health Informatics, Continuous Monitoring, Technical Communication, Anomaly Detection, Infectious Diseases, Law, Regulation, and Compliance, Data Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      375 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Malware Analysis and Introduction to Assembly Language

      Skills you'll gain: Malware Protection, Cyber Threat Hunting, Cyber Security Assessment, Application Security, Threat Detection, Virtual Machines, Debugging, System Programming, Microsoft Windows, Windows PowerShell, Programming Principles, Computer Architecture, Linux

      4.6
      Rating, 4.6 out of 5 stars
      ·
      80 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Data mining of Clinical Databases - CDSS 1

      Skills you'll gain: Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Patient Flow, Predictive Analytics, Data Ethics, Biostatistics, SQL, Interoperability, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Data Balancing with Gen AI: Credit Card Fraud Detection: Coursera Project Network
    • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
    • Wireshark for Security: Detect Network Anomalies: Coursera Project Network
    • Machine Learning for Computer Vision: MathWorks
    • SIEM Splunk Hands-On Guide: EDUCBA
    • Advanced Data Analysis with Generative AI: Microsoft
    • Security Operations Center (SOC): Cisco Learning and Certifications
    • Device-based Models with TensorFlow Lite: DeepLearning.AI
    • Managing Network Security: Kennesaw State University
    • Surveillance Systems: Analysis, Dissemination, and Special Systems: Johns Hopkins 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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