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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

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Advanced Machine Learning Algorithms

      Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

      3.6
      Rating, 3.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep SCS-C02: AWS Certified Security – Specialty

      Skills you'll gain: AWS Identity and Access Management (IAM), Identity and Access Management, Amazon Web Services, Patch Management, Amazon CloudWatch, Infrastructure Security, Threat Detection, Amazon S3, Vulnerability Scanning, Data Security, Cloud Security, Network Security, Threat Management, Incident Response, Data Governance, Authorization (Computing), Continuous Monitoring, Cyber Governance, Firewall, Vulnerability Assessments

      4.3
      Rating, 4.3 out of 5 stars
      ·
      24 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Object Tracking and Motion Detection with Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Matlab, Motion Graphics, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations and Reconnaissance Techniques

      Skills you'll gain: Penetration Testing, Vulnerability Scanning, Cyber Security Assessment, Vulnerability Assessments, MITRE ATT&CK Framework, Threat Detection, Infrastructure Security, Cybersecurity, Payment Card Industry (PCI) Data Security Standards, NIST 800-53, Network Analysis, General Data Protection Regulation (GDPR)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Python for Active Defense

      Skills you'll gain: Cyber Threat Hunting, Threat Detection, System Monitoring, Cybersecurity, Cyber Operations, Continuous Monitoring, Network Security, Endpoint Security, Network Monitoring, Scripting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      76 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Advanced Python Scripting for Cybersecurity

      Skills you'll gain: Network Analysis, Network Security, Cyber Operations, MITRE ATT&CK Framework, Cybersecurity, Threat Detection, Network Monitoring, Penetration Testing, Anomaly Detection, Scripting, Network Protocols, Authentications, TCP/IP, Python Programming, Data Access, User Accounts, System Programming, Automation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      73 reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      ISC2

      Incident Response and Recovery

      Skills you'll gain: Incident Response, Disaster Recovery, Computer Security Incident Management, Business Continuity, Cybersecurity, Investigation, Event Monitoring, Threat Detection, Risk Management, Communication Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python Project

      Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Image Segmentation, Filtering, and Region Analysis

      Skills you'll gain: Image Analysis, Matlab, Computer Vision, Medical Imaging, Spatial Analysis, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Science Fundamentals

      Skills you'll gain: Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Big Data, Analytics, Cloud Computing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      240 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      System and Network Security

      Skills you'll gain: Penetration Testing, Network Security, Malware Protection, Threat Modeling, Cybersecurity, Threat Detection, Information Systems Security, Intrusion Detection and Prevention, Firewall, Cyber Attacks, Vulnerability Assessments, Internet Of Things, Network Analysis

      5
      Rating, 5 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Cybersecurity and the X-Factor

      Skills you'll gain: Cyber Threat Intelligence, Threat Detection, Human Factors (Security), Threat Management, Security Awareness, Cybersecurity, Cyber Risk, Compliance Training, Employee Training, Behavior Management, Insurance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      258 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Advanced Machine Learning Algorithms: Fractal Analytics
    • Exam Prep SCS-C02: AWS Certified Security – Specialty: Whizlabs
    • Object Tracking and Motion Detection with Computer Vision: MathWorks
    • Foundations and Reconnaissance Techniques: Packt
    • Python for Active Defense: Infosec
    • Advanced Python Scripting for Cybersecurity: Infosec
    • Incident Response and Recovery: ISC2
    • Data Analysis with Python Project : University of Colorado Boulder
    • Image Segmentation, Filtering, and Region Analysis: MathWorks
    • Data Science Fundamentals: University of California, Irvine

    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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