Assessment mode Assignments or Quiz
Tutor support available
International Students can apply Students from over 90 countries
Flexible study Study anytime, from anywhere

Overview

Global Certificate Course in Outlier Detection

Unlock the secrets of identifying anomalies in data with our comprehensive outlier detection training. Designed for data analysts, statisticians, and data scientists, this course equips you with cutting-edge techniques to detect outliers and improve data quality. Learn to leverage advanced algorithms and machine learning models to detect outliers effectively. Elevate your data analysis skills and make informed decisions based on accurate data. Don't let outliers skew your insights - enroll now and become an outlier detection expert!

Start your learning journey today!

Data Science Training: Enhance your machine learning skills with our Global Certificate Course in Outlier Detection. Gain practical skills through hands-on projects and learn from real-world examples. This self-paced course offers in-depth insights into data analysis techniques and statistical methods for identifying outliers in datasets. Our expert instructors will guide you through advanced algorithms and tools to detect anomalies effectively. By the end of the course, you will have a comprehensive understanding of outlier detection and its significance in various industries. Elevate your data science career with this specialized training.
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Course structure

• Introduction to Outlier Detection
• Statistical Methods for Outlier Detection
• Machine Learning Approaches for Outlier Detection
• Novelty Detection Techniques
• Anomaly Detection in Time Series Data
• Outlier Detection in Unsupervised Learning
• Outlier Detection in Supervised Learning
• Outlier Visualization and Interpretation
• Real-world Applications of Outlier Detection

Course fee

The fee for the programme is as follows:

: £140

Standard mode - 2 months: £90

Our Global Certificate Course in Outlier Detection equips you with the skills to identify and analyze outliers in datasets effectively. By mastering techniques such as anomaly detection and data preprocessing, you'll be able to enhance the accuracy of your data analysis and decision-making processes.


The course is designed to be completed in 8 weeks, allowing you to learn at your own pace and integrate your new skills seamlessly into your workflow. Whether you're a data scientist, analyst, or researcher, this course will provide you with the tools you need to excel in your field.


With the increasing focus on data-driven decision-making in today's business world, the ability to detect outliers and anomalies in data is a highly sought-after skill. Our course is aligned with current trends in data analysis and machine learning, ensuring that you stay ahead of the curve in your industry.

Year Number of Outlier Detection Incidents
2019 245
2020 312
2021 398

Career path