Home Categories Fraud Analytics

Fraud Analytics using R & Microsoft Excel

Learners: 18,868

Instructor: Exam Turf

Duration:

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.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2019-06-27

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.