Fraud Analytics using R & Microsoft Excel

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2019-06-27
Learners

No Information
Duration

No Information
Instructor

Exam Turf

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3.6

18,868 Ratings

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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Fraud Analytics using R & Microsoft Excel

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

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

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