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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

      Machine Learning - Anomaly Detection via PyCaret

      Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Predictive Modeling, Interactive Data Visualization, Applied Machine Learning, Machine Learning Software, Machine Learning Algorithms

      3.8
      Rating, 3.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Fraud Detection and Compliance

      Skills you'll gain: Generative AI, Law, Regulation, and Compliance, Regulatory Requirements, Compliance Management, Compliance Reporting, Governance, Business Risk Management, Governance Risk Management and Compliance, Risk Management, Financial Regulation, Anomaly Detection, Compliance Auditing, Data Governance, Artificial Intelligence, Large Language Modeling, Threat Detection, Advanced Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Data Mining

      Skills you'll gain: 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, Data Validation

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

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    • V

      Vanderbilt University

      ChatGPT Advanced Data Analysis

      Skills you'll gain: Prompt Engineering, Data Presentation, ChatGPT, Document Management, Artificial Intelligence, Microsoft Excel, Problem Solving, Data Analysis, Generative AI, Information Management, File Management, Creativity, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      778 reviews

      Beginner · Course · 1 - 3 Months

    • 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, Deep Learning, MLOps (Machine Learning Operations), Predictive Analytics

      Beginner · Project · Less Than 2 Hours

    • W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      324 reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      MathWorks

      Deep Learning for Object Detection

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Network Security, Threat Management, Incident Response, Vulnerability Management, Computer Security Incident Management, Hardening, Intrusion Detection and Prevention, Cyber Threat Intelligence, Cyber Attacks, Cybersecurity, Network Protocols, Professional Networking, Vulnerability Assessments, Bash (Scripting Language), Operating Systems, Security Controls, Debugging, Interviewing Skills, Python Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      51K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Machine Learning - Anomaly Detection via PyCaret: Coursera Project Network
    • Machine Learning: DeepLearning.AI
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • Advanced Malware and Network Anomaly Detection: Johns Hopkins University
    • GenAI for Fraud Detection and Compliance: Coursera Instructor Network
    • Data Mining: University of Illinois Urbana-Champaign
    • Unsupervised Machine Learning: IBM
    • ChatGPT Advanced Data Analysis: Vanderbilt University
    • Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution: Google Cloud
    • Machine Learning for Data Analysis: Wesleyan 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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