Learners will analyze fraud patterns, evaluate fraud detection techniques, and apply data-driven analytical approaches to identify and mitigate fraudulent activities. This course builds a strong foundation in fraud concepts while progressively introducing modern fraud analytics methods, including Big Data approaches and machine learning techniques such as supervised and unsupervised learning. Learners will gain a structured understanding of the fraud lifecycle, high-level fraud analytics strategies, and the measurable business benefits of analytics-driven fraud prevention.
Analyze Fraud Using Data Analytics and R
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您将学到什么
Analyze fraud patterns and evaluate common fraud detection techniques.
Apply data-driven and machine learning approaches to identify fraudulent behavior.
Interpret real-world fraud scenarios to support informed risk and prevention decisions.
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最近已更新！
February 2026
作业
8 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Apply R for Business Analytics Projects 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有2个模块
This module introduces learners to the fundamental concepts of fraud and the analytical techniques used to detect and prevent it. Learners explore different types of fraud, understand how fraud occurs, and examine the limitations of traditional fraud detection methods. The module then transitions into modern, data-driven approaches, highlighting the role of Big Data and machine learning techniques in identifying fraudulent behavior. By the end of this module, learners will have a strong conceptual foundation in fraud analytics and be prepared to apply analytical thinking to fraud detection scenarios.
涵盖的内容
8个视频4个作业
This module focuses on the end-to-end fraud lifecycle and the strategic role of analytics in managing fraud risk. Learners examine how fraud evolves over time, why continuous monitoring is essential, and how organizations design high-level fraud analytics strategies aligned with business objectives. The module concludes with real-world credit card fraud scenarios, demonstrating how analytics is applied in practice to detect suspicious behavior, reduce losses, and improve decision-making in high-volume transaction environments.
涵盖的内容
8个视频4个作业
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