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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: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Malware and Network Anomaly Detection

    Skills you'll gain: Anomaly Detection, Intrusion Detection and Prevention, Malware Protection, Continuous Monitoring, Threat Detection, Network Analysis, Cybersecurity, System Design and Implementation, Network Security, Machine Learning Software, Machine Learning Methods, Performance Testing, Machine Learning Algorithms, Machine Learning, Supervised Learning, Microsoft Windows

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Network Monitoring and Analysis

    Skills you'll gain: Intrusion Detection and Prevention, Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Essentials for Forensics

    Skills you'll gain: Mobile Security, Anomaly Detection, Criminal Investigation and Forensics, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Investigation, Cyber Attacks, File Systems, Intrusion Detection and Prevention, Fraud detection, Mobile Development, Cybersecurity, Applied Machine Learning, Malware Protection, Cyber Security Policies, Apple iOS, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Security

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.2K reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Preview
    Preview
    C

    Coursera Instructor Network

    GenAI for Fraud Detection and Compliance

    Skills you'll gain: Fraud detection, Generative AI, Generative Model Architectures, Responsible AI, Regulatory Requirements, Compliance Management, Governance, Business Risk Management, Risk Management, Data Ethics, Anomaly Detection, Artificial Intelligence, Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution

    Skills you'll gain: Application Deployment, Image Analysis, Google Cloud Platform, Computer Vision, Anomaly Detection, MLOps (Machine Learning Operations), Predictive Modeling

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera Instructor Network

    GenAI for Fraud Analysts: Improving Detection Efficiency

    Skills you'll gain: Anomaly Detection, Fraud detection, Data Visualization, Generative AI, Risk Management, ChatGPT, Data Synthesis, Compliance Management, Unsupervised Learning, Test Data, Data Pipelines, Automation, Predictive Analytics, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Foundations and Practice

    Skills you'll gain: Data Mining, Unsupervised Learning, Data Warehousing, Data Pipelines, Data Modeling, Big Data, Supervised Learning, Data Science, Machine Learning Methods, Data Cleansing, Classification And Regression Tree (CART), Data Analysis, Data Processing, Anomaly Detection, Data Transformation, Machine Learning Algorithms, Exploratory Data Analysis, Data Quality, Data Presentation, Analytical Skills

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    159 reviews

    Intermediate · Specialization · 1 - 3 Months

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

    Pearson

    Cybersecurity Prevention and Detection

    Skills you'll gain: Cyber Threat Intelligence, Cyber Threat Hunting, Threat Detection, Vulnerability Assessments, Incident Response, Threat Modeling, Security Information and Event Management (SIEM), Cybersecurity, Threat Management, Computer Security Incident Management, Cloud Security, MITRE ATT&CK Framework, Cyber Risk, Cyber Security Policies, Data Security, Network Security, Cyber Security Strategy, Personally Identifiable Information, Malware Protection, Risk Management

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Data Mining

    Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Anomaly Detection, Analytics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Foundations of Machine Learning: Coursera
  • Advanced Malware and Network Anomaly Detection: Johns Hopkins University
  • Machine Learning - Anomaly Detection via PyCaret: Coursera Project Network
  • Network Monitoring and Analysis : Google
  • Cyber Security: Essentials for Forensics: Macquarie University
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • GenAI for Fraud Detection and Compliance: Coursera Instructor Network
  • Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution: Google Cloud
  • GenAI for Fraud Analysts: Improving Detection Efficiency: Coursera Instructor Network
  • Data Mining Foundations and Practice: University of Colorado Boulder

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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