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Reza Salehi

Do you need to find abnormalities in your time series data before it is too late? This course will teach you to do so using Azure Cognitive Services Anomaly Detector service.

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Do you need to find abnormalities in your time series data before it is too late? This course will teach you to do so using Azure Cognitive Services Anomaly Detector service.

Finding abnormalities in time series data is critical for many systems, yet a tricky task. In this course, Microsoft Azure Cognitive Services: Anomaly Detector, you’ll learn to easily analyse your data for abnormalities using the Anomaly Detector service. First, you’ll explore the meaning of time series data and the role of machine learning to find abnormalities. Next, you’ll discover how to provision and configure Azure Cognitive Services Anomaly Detector. Finally, you’ll learn how to call the service using both the REST API and the .NET SDK. When you’re finished with this course, you’ll have the skills and knowledge of Azure Cognitive Services Anomaly Detector needed to easily detect time series data abnormalities and act on them before it is too late.

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What's inside

Syllabus

Course Overview
Machine Learning and Time Series Data
Working with Azure Cognitive Services Anomaly Detector

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for learners who want to analyze their data for abnormalities to act on promptly
Guides learners on how to provision and configure Azure Cognitive Services Anomaly Detector

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Microsoft Azure Cognitive Services: Anomaly Detector with these activities:
Compile and review course materials
Organize and review all the course materials, including notes, assignments, and quizzes, to reinforce your understanding of key concepts.
Show steps
  • Gather and organize all course materials into a dedicated folder or notebook.
  • Review the materials thoroughly, focusing on key concepts and important details.
Practice analyzing time series data
Get hands-on practice with time series data analysis techniques to develop proficiency and confidence.
Show steps
  • Find a publicly available time series dataset.
  • Preprocess the data and perform exploratory analysis.
  • Apply different time series analysis techniques to identify trends and patterns.
Follow a tutorial on the Azure Cognitive Services Anomaly Detector
Gain a practical understanding of the Azure Cognitive Services Anomaly Detector by following a guided tutorial.
Browse courses on Azure Cognitive Services
Show steps
  • Find a comprehensive tutorial that covers the use of Azure Cognitive Services Anomaly Detector.
  • Follow the tutorial step-by-step and implement the concepts in a hands-on manner.
Show all three activities

Career center

Learners who complete Microsoft Azure Cognitive Services: Anomaly Detector will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use their expertise in mathematics, statistics, and computer science to solve complex problems. They develop and apply machine learning and other advanced analytical techniques to extract insights from data. Detecting anomalies is an important task for data scientists, as they can indicate potential problems or opportunities. The Microsoft Azure Cognitive Services: Anomaly Detector course will provide you with the skills and knowledge needed to successfully implement anomaly detection techniques in your data science projects.
Data Analyst
Data Analysts use their programming, statistics, and analytical skills to examine data and provide critical insights to organizations. They help businesses make informed decisions and identify opportunities for improvement. Anomaly detection is a vital skill for Data Analysts, as they use it to quickly identify abnormal values in data and make appropriate recommendations based on these findings. The Microsoft Azure Cognitive Services: Anomaly Detector course will provide you with the necessary knowledge and tools to build your skills in this field.
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models to power a variety of applications. They have a strong understanding of machine learning algorithms and how to apply them to real-world problems. Anomaly detection is a common task for Machine Learning Engineers, as they use it to detect unusual or unexpected patterns in data. The Microsoft Azure Cognitive Services: Anomaly Detector course will give you a solid foundation in anomaly detection techniques and help you develop the skills you need to succeed in this demanding and rewarding field.
Business Analyst
Business Analysts provide organizations with valuable insights into their operations and help them make informed decisions. They use data analysis techniques to identify trends, patterns, and potential problems. Anomaly detection is a useful skill for Business Analysts because it allows them to quickly identify unusual or unexpected changes in data. The Microsoft Azure Cognitive Services: Anomaly Detector course will give you the knowledge and tools you need to identify anomalies and make better recommendations.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to help organizations improve their efficiency and effectiveness. They often use anomaly detection techniques to identify potential problems or opportunities in operations and supply chains. The Microsoft Azure Cognitive Services: Anomaly Detector course will help you learn how to apply anomaly detection techniques to real-world problems and make valuable contributions to your organization.
Quality Control Engineer
Quality Control Engineers work to ensure that products and services meet quality standards. They use a variety of techniques, including anomaly detection, to identify and resolve quality issues. The Microsoft Azure Cognitive Services: Anomaly Detector course will help you develop the skills needed to use anomaly detection techniques in quality control processes and improve product and service quality.
Risk Analyst
Risk Analysts identify and assess risks to organizations and develop strategies to mitigate those risks. They use anomaly detection techniques to identify unusual or unexpected patterns in data that may indicate a potential risk. The Microsoft Azure Cognitive Services: Anomaly Detector course will provide you with the skills and knowledge you need to use anomaly detection techniques to better manage risks and protect your organization.
Compliance Officer
Compliance Officers ensure that organizations comply with laws and regulations. They use anomaly detection techniques to identify unusual or unexpected activities that may indicate a potential violation. The Microsoft Azure Cognitive Services: Anomaly Detector course will give you the skills and knowledge needed to use anomaly detection techniques to improve your compliance efforts and reduce the risk of legal penalties.
Fraud Analyst
Fraud Analysts investigate and prevent fraud. They use anomaly detection techniques to identify unusual or suspicious transactions that may indicate fraudulent activity. The Microsoft Azure Cognitive Services: Anomaly Detector course will provide you with the skills and knowledge needed to use anomaly detection techniques to detect and prevent fraud, protecting your organization from financial losses and other risks.
Data Engineer
Data Engineers design, build and maintain data systems. They often use anomaly detection techniques to identify and resolve problems with data systems, ensuring their reliability and performance. The Microsoft Azure Cognitive Services: Anomaly Detector course will provide Data Engineers with the knowledge and skills needed to apply anomaly detection techniques to data systems, ensuring their reliability and efficiency.
Business Intelligence Analyst
Business Intelligence Analysts use data analysis techniques to help organizations make informed decisions. They may use anomaly detection techniques to identify unusual or unexpected patterns in data that may indicate opportunities or risks. The Microsoft Azure Cognitive Services: Anomaly Detector course will give Business Intelligence Analysts the skills and knowledge they need to use anomaly detection techniques in their work, improving their ability to identify valuable insights and make better recommendations.
IT Manager
IT Managers are responsible for the planning, implementation, and management of IT systems within an organization. They may use anomaly detection techniques to identify and resolve problems with IT systems, ensuring their availability and performance. The Microsoft Azure Cognitive Services: Anomaly Detector course can help IT Managers develop the skills and knowledge they need to use anomaly detection techniques effectively, improving the reliability and efficiency of their IT systems.
Software Architect
Software Architects design software systems and ensure that they meet the requirements of the business. They often use anomaly detection techniques to identify potential problems or performance bottlenecks in software systems. The Microsoft Azure Cognitive Services: Anomaly Detector course will give you the knowledge and tools needed to use anomaly detection techniques in the design and development of software systems, improving their reliability and performance.
Systems Engineer
Systems Engineers design, implement and maintain computer systems. They often use anomaly detection techniques to identify and resolve problems in computer systems. The Microsoft Azure Cognitive Services: Anomaly Detector course will provide you with the knowledge and skills you need to apply anomaly detection techniques to computer systems, ensuring their reliability and performance.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Microsoft Azure Cognitive Services: Anomaly Detector.
Comprehensive guide to time series analysis. It covers a wide range of topics, from basic concepts to advanced techniques.
Provides a comprehensive overview of multivariate time series analysis. It covers a wide range of topics, from basic concepts to advanced techniques.
Comprehensive guide to time series analysis with applications in R. It covers a wide range of topics, from basic concepts to advanced techniques.
Advanced guide to time series analysis by state space methods. It covers a wide range of topics, from basic concepts to advanced techniques.

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