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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
      P

      Packt

      CCNA Advanced – WAN, Security, and Network Services

      Skills you'll gain: Open Shortest Path First (OSPF), Virtual Local Area Network (VLAN), Wide Area Networks, Network Security, Threat Detection, Threat Management, Network Administration, Multiprotocol Label Switching, Network Routing, Virtual Private Networks (VPN), Network Troubleshooting, Dynamic Host Configuration Protocol (DHCP), Network Switches, Network Protocols

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Visual Perception

      Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Feature Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fortinet, Inc.

      Enterprise Firewall Administrator

      Skills you'll gain: Firewall, Network Security, Virtual Private Networks (VPN), Network Administration, Intrusion Detection and Prevention, Network Infrastructure, Enterprise Security, Network Architecture, Security Controls, System Configuration, Performance Tuning, Malware Protection, Threat Detection

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      EDUCBA

      Regression & Forecasting for Data Scientists using Python

      Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning: Techniques and Applications

      Skills you'll gain: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      A

      Amazon Web Services

      DevOps and AI on AWS: CI/CD for Generative AI Applications

      Skills you'll gain: Infrastructure as Code (IaC), Amazon CloudWatch, CI/CD, AWS CloudFormation, Application Deployment, Continuous Deployment, Amazon Web Services, Continuous Integration, DevOps, Generative AI, Cloud Applications, System Monitoring, Automation, Continuous Monitoring, Release Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Cisco Cybersecurity Fundamentals

      Skills you'll gain: Incident Response, Cyber Risk, Risk Management Framework, Threat Detection, Cyber Operations, Cybersecurity, Risk Management, Computer Security Incident Management, Network Security, Threat Management, Security Management, Risk Mitigation, Enterprise Risk Management (ERM), Vulnerability Management, Cyber Attacks, Business Risk Management, Cyber Security Policies, Risk Analysis, Cyber Threat Intelligence, Operational Risk

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Healthcare Ethics

      Skills you'll gain: Data Ethics, Healthcare Ethics, Medical Privacy, Generative AI, Health Care Procedure and Regulation, Patient Safety, Artificial Intelligence, Information Privacy, Health Technology, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Generative AI Applications and Popular Tools

      Skills you'll gain: ChatGPT, Generative AI, Computer Vision, Image Analysis, OpenAI, Prompt Engineering, Large Language Modeling, Software Development Tools, GitHub, Natural Language Processing, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Generative AI for Data Science

      Skills you'll gain: Generative AI, Large Language Modeling, Data Ethics, Prompt Engineering, Feature Engineering, Operational Efficiency, Advertising, Marketing, Artificial Intelligence, Application Deployment, Anomaly Detection, Data Synthesis, Information Privacy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      A

      Amazon Web Services

      DevOps and AI on AWS: AIOps

      Skills you'll gain: Amazon CloudWatch, DevOps, DevSecOps, Code Review, Amazon Web Services, CI/CD, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Automation, Continuous Monitoring

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Sales Analysis with Claude: Data Driven Sales Analytics

      Skills you'll gain: Business Intelligence, Data Visualization, Sales Presentation, Data Storytelling, Trend Analysis, Sales, Business Analytics, Sales Strategy, Data-Driven Decision-Making, Data Analysis, Business Strategy, Anomaly Detection, Artificial Intelligence

      Intermediate · Guided Project · Less Than 2 Hours

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

    • CCNA Advanced – WAN, Security, and Network Services: Packt
    • Visual Perception: Columbia University
    • Enterprise Firewall Administrator: Fortinet, Inc.
    • Regression & Forecasting for Data Scientists using Python: EDUCBA
    • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
    • DevOps and AI on AWS: CI/CD for Generative AI Applications: Amazon Web Services
    • Cisco Cybersecurity Fundamentals: Board Infinity
    • GenAI for Healthcare Ethics: Coursera Instructor Network
    • Generative AI Applications and Popular Tools: Edureka
    • Generative AI for Data Science: Microsoft

    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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