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Anomaly Detection Courses

Anomaly detection courses can help you learn statistical methods, machine learning techniques, and data preprocessing strategies. You can build skills in identifying outliers, implementing clustering algorithms, and applying time series analysis. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, as well as software for data visualization, which enhance your ability to analyze and interpret complex datasets.


Popular Anomaly Detection Courses and Certifications


  • C

    Coursera

    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: 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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Anomaly Detection, Generative AI, Fraud detection, Intrusion Detection and Prevention, Malware Protection, Continuous Monitoring, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Security Strategy, Threat Modeling, Email Security, System Design and Implementation, Network Security, Jupyter, Authentications, Deep Learning, Machine Learning Software

    4.2
    Rating, 4.2 out of 5 stars
    ·
    90 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    5.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

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

    Macquarie University

    Cyber Security: Data, Privacy and AI Security

    Skills you'll gain: Responsible AI, Information Privacy, Personally Identifiable Information, Data Security, Threat Detection, Threat Modeling, Vulnerability Assessments, Data Governance, Data Management, Cyber Security Strategy, Data Integrity, Data Loss Prevention, Cloud Security, Cybersecurity, Security Awareness, Artificial Intelligence and Machine Learning (AI/ML), Security Management, Security Controls, Cyber Operations, Data Science

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    AI CERTs

    AI for Telecommunications

    Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Internet Of Things, Telecommunications, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Responsible AI, Emerging Technologies, Wireless Networks, Generative AI, Network Performance Management, Digital Communications, Generative AI Agents, Network Architecture, Network Protocols, Computer Networking, System Design and Implementation, Communication

    Advanced · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    Generative AI for Cybersecurity

    Skills you'll gain: Penetration Testing, Metasploit, Safety Culture, Cyber Threat Hunting, Cyber Threat Intelligence, Cyber Security Assessment, Cybersecurity, Threat Detection, Generative AI, Security Testing, Vulnerability Scanning, Anomaly Detection, Data Security, Security Strategy, Network Security, Security Software, Change Management, Machine Learning Methods, Ethical Standards And Conduct, Data Visualization

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Intrusion Detection

    Skills you'll gain: Intrusion Detection and Prevention, Incident Response, Threat Detection, Endpoint Detection and Response, Computer Security Incident Management, Cyber Threat Intelligence, Distributed Denial-Of-Service (DDoS) Attacks, Anomaly Detection, Cybersecurity, Cyber Security Strategy, Threat Management, Continuous Monitoring, System Monitoring, Virtual Machines, Network Security, Event Monitoring, Network Monitoring, Applied Machine Learning, Network Analysis, Data Analysis

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    Build AI Agents with Practical App Design

    Skills you'll gain: Technical Communication, Generative AI Agents, Data Integration, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Business Transformation, Responsible AI, System Design and Implementation, Application Deployment, Artificial Intelligence, Solution Design, Cloud Computing, Deep Learning, Data Visualization, Python Programming, Machine Learning, Data Engineering, Anomaly Detection, Statistical Analysis

    Beginner · 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

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

  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • Advanced Malware and Network Anomaly Detection: Johns Hopkins University
  • AI for Cybersecurity: Johns Hopkins University
  • Foundations of Machine Learning: Coursera
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • GenAI for Fraud Detection and Compliance: Coursera
  • Cyber Security: Data, Privacy and AI Security: Macquarie University
  • AI for Telecommunications: AI CERTs
  • Generative AI for Cybersecurity: LearnQuest
  • Intrusion Detection: 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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