Fraud Analytics using R & Microsoft Excel
This course provides a comprehensive introduction to fraud analytics using R and Microsoft Excel. It covers the most relevant techniques used in the real world by data analysts of companies around the world. Learners will gain an understanding of different types of fraud, the importance of fraud analytics, traditional fraud detection methods, and big data approaches to fraud detection, prevention, and analytics. A case study on credit card fraud detection is also included. This practical and quantitative course is perfect for anyone looking to gain a better understanding of fraud analytics. ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
2019-06-27
Course Overview
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Updated in [July 25th, 2023]
This course provides learners with an introduction to fraud analytics and the importance of using sophisticated statistical tools such as R and Tableau to analyze data. Learners will gain an understanding of different types of fraud, traditional fraud detection methods, and fraud detection, prevention, and analytics using big data approaches. Through a case study on credit card fraud detection, learners will gain practical experience in applying the techniques used by data analysts in the real world.
Course Syllabus
Introduction
Types of Fraud and Detail Fraud Analytics
BIG DATA Approach
Case Study
Conclusion
Course Provider
Provider Udemy's Stats at AZClass
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