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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
      S

      SAS

      The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Data Ethics, Data-Driven Decision-Making, Machine Learning, Applied Machine Learning, Business Ethics, Decision Tree Learning, Business Analytics, Artificial Intelligence, Performance Analysis, Social Justice

      4.8
      Rating, 4.8 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable machine learning applications: Part 5

      Skills you'll gain: Anomaly Detection, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Descriptive Statistics, Data Ethics, Probability & Statistics, Applied Machine Learning, Public Policies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Execution, persistence, privilege escalation and evasion

      Skills you'll gain: Cybersecurity, Cyber Operations, Cyber Threat Hunting, Intrusion Detection and Prevention, Scripting, Python Programming, Authorization (Computing), Command-Line Interface, Operating Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Introduction to SIEM (Splunk)

      Skills you'll gain: Security Information and Event Management (SIEM), Splunk, Threat Detection, System Monitoring, Cybersecurity, Event Monitoring, Incident Response, Data Analysis Software, Information Management, Data Management, Real Time Data, Data Import/Export, Data Storage, Configuration Management, Software Installation, User Interface (UI)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      152 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Advanced Network Security

      Skills you'll gain: Incident Response, Cyber Threat Hunting, Computer Security Incident Management, Intrusion Detection and Prevention, Cyber Threat Intelligence, Continuous Monitoring, Threat Detection, Cloud Security, Disaster Recovery, Threat Management, Firewall, Security Management, Network Security, Cybersecurity, Security Information and Event Management (SIEM), Network Monitoring, Security Strategy, Security Controls, Information Systems Security, Infrastructure Security

      4.3
      Rating, 4.3 out of 5 stars
      ·
      67 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Cybersecurity Concepts and Capstone Project

      Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Threat Management, Cybersecurity, Cyber Security Strategy, Application Security, Threat Detection, Security Strategy, Microsoft Azure, Cloud Security, Internet Of Things, Secure Coding, Network Security, Security Controls, Vulnerability Assessments, Identity and Access Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Deep Learning for Computer Vision

      Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Predictive Modeling, Data Synthesis, Performance Tuning, Classification And Regression Tree (CART), Data Analysis, Data Processing, Medical Imaging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Technical University of Munich (TUM)

      Digitalisation in Space Research

      Skills you'll gain: Global Positioning Systems, Digital Transformation, Environmental Monitoring, Aerospace Basic Quality System Standards, Manufacturing Processes, Manufacturing and Production, Big Data, Production Process, Cybersecurity, Artificial Intelligence, Threat Detection, Automation, Telecommunications, Data Processing, Cloud Services, Technology Strategies, Data Storage, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      95 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Neural Networks, Generative AI, Natural Language Processing, Python Programming

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Advanced Data Analysis with ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Data Validation, Data Analysis, Data-Driven Decision-Making, AI Personalization, Analytical Skills, Technical Communication, Data Transformation, Business Intelligence, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Practical Predictive Analytics: Models and Methods

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Big Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      320 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universitat Autònoma de Barcelona

      Detección de objetos

      Skills you'll gain: Computer Vision, Image Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Histogram

      4.4
      Rating, 4.4 out of 5 stars
      ·
      352 reviews

      Mixed · Course · 1 - 3 Months

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

    • The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats: SAS
    • Interpretable machine learning applications: Part 5: Coursera Project Network
    • Execution, persistence, privilege escalation and evasion: Infosec
    • Introduction to SIEM (Splunk): EDUCBA
    • Advanced Network Security: LearnQuest
    • Advanced Cybersecurity Concepts and Capstone Project: Microsoft
    • Deep Learning for Computer Vision: MathWorks
    • Digitalisation in Space Research: Technical University of Munich (TUM)
    • Introduction to Deep Learning: University of Colorado Boulder
    • Advanced Data Analysis with ChatGPT: Coursera Instructor Network

    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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