Global Certificate Course in Anomaly Detection using Machine Learning

Monday, 13 October 2025 20:25:48

International applicants and their qualifications are accepted

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Overview

Overview

Global Certificate Course in Anomaly Detection using Machine Learning

Designed for data scientists and analysts, this course delves into anomaly detection techniques using machine learning. Learn to identify outliers and unusual patterns in data to enhance fraud detection, system health monitoring, and more. Gain hands-on experience with algorithms like Isolation Forest and One-Class SVM. Elevate your skills in data analysis and model building to detect anomalies effectively. Join us in mastering this critical aspect of data science and make a real impact in your organization. Enroll now and unlock the power of anomaly detection with machine learning.

Global Certificate Course in Anomaly Detection using Machine Learning is your gateway to mastering cutting-edge techniques in identifying outliers and irregularities in data. This comprehensive program equips you with advanced skills to detect fraud, faults, and anomalies across various industries. With a focus on practical applications and hands-on projects, you'll gain real-world experience in anomaly detection. Upon completion, you'll be ready to pursue lucrative roles as a data scientist, machine learning engineer, or cybersecurity analyst. Don't miss this opportunity to stand out in the competitive tech landscape with our industry-recognized certification. Join now and unlock your potential!

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

  • • Introduction to Anomaly Detection
  • • Data Preprocessing for Anomaly Detection
  • • Unsupervised Learning Techniques for Anomaly Detection
  • • Supervised Learning Techniques for Anomaly Detection
  • • Evaluation Metrics for Anomaly Detection Models
  • • Time Series Anomaly Detection
  • • Novelty Detection and Outlier Detection
  • • Anomaly Detection in Network Security
  • • Real-world Applications of Anomaly Detection

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Global Certificate Course in Anomaly Detection using Machine Learning

The Global Certificate Course in Anomaly Detection using Machine Learning is designed to equip participants with the knowledge and skills to detect anomalies in various datasets using machine learning algorithms. By the end of the course, participants will be able to understand the fundamentals of anomaly detection, implement different anomaly detection techniques, and interpret results effectively.

The duration of the course is typically 6 weeks, with a total of 30 hours of instruction. Participants will engage in hands-on exercises and projects to apply their learning in real-world scenarios. The course is delivered online, allowing for flexibility in learning and accommodating participants from around the world.

This course is highly relevant to industries such as finance, cybersecurity, healthcare, and e-commerce, where anomaly detection plays a crucial role in identifying fraudulent activities, security breaches, unusual patterns in data, and more. Participants will gain practical skills that can be directly applied in their respective industries, enhancing their professional capabilities and career prospects.

Why this course?

Year Number of Data Breaches
2018 4,056
2019 3,950
2020 3,932
The Global Certificate Course in Anomaly Detection using Machine Learning is highly significant in today's market due to the increasing number of data breaches in the UK. According to recent statistics, there were 4,056 data breaches in 2018, 3,950 in 2019, and 3,932 in 2020. This trend highlights the critical need for professionals skilled in anomaly detection to identify and prevent such security threats. By enrolling in this course, learners can acquire the necessary knowledge and skills to detect anomalies in large datasets using machine learning algorithms. This expertise is in high demand across various industries to safeguard sensitive information and maintain data integrity. Professionals who complete this course will be well-equipped to address the growing challenges of cybersecurity and data protection in today's digital landscape.

Who should enrol in Global Certificate Course in Anomaly Detection using Machine Learning?

Ideal Audience
Professionals in data analysis, cybersecurity, or finance looking to enhance their skills in anomaly detection using machine learning.
Individuals interested in leveraging AI technology to detect and prevent fraudulent activities.
UK-specific statistics: According to a report by UK Finance, financial fraud losses in the UK reached £783.8 million in 2020, highlighting the critical need for advanced anomaly detection techniques.