Fraud Analytics Using R & Microsoft Excel

Learn how to Introduction to Fraud,Different Types of Fraud and Fraud Analytics & Importance
What you'll learn
Learn how to effectively work around pricing to find out answers to key questions related to business analysis.
Requirements
Students
Marketing professionals
Market Researchers
Product Managers
Any person running a business
Anyone interested in learning about fraud analytics
Description
Learn how to effectively work around pricing to find out answers to key questions related to business analysis. We are using sophisticated statistical tools like R and Tableau to analyze data.this training is a practical and a quantitative course which will help you learn fraud analytics with the perspective of a data scientist. The learner of this course will learn the most relevant techniques used in the real world by data analysts of companies around the world.The training includes the following;Introduction to FraudDifferent Types of FraudFraud Analytics & ImportanceTraditional Fraud Detection MethodFraud Detection – BIG Data ApproachFraud Detection, Prevention & AnalyticsCase Study : Credit Card Fraud Detection
Overview
Section 1: Introduction
Lecture 1 Introduction to Fraud
Section 2: Types of Fraud and Detail Fraud Analytics
Lecture 2 Types of Fraud
Lecture 3 Fraud Analytics
Lecture 4 Details of Fraud
Lecture 5 Traditional Fraud Detection Method
Section 3: BIG DATA Approach
Lecture 6 Fraud Detection - BIG DATA Approach
Lecture 7 Supervised Learning
Lecture 8 Unsupervised Learning
Lecture 9 Fraud Cycle
Lecture 10 Fraud Cycle Continues
Lecture 11 High Level Strategy
Lecture 12 Fraud Analytics Benefits
Section 4: Case Study
Lecture 13 Credit Card Fraud
Lecture 14 Example of Credit Card Fraud
Lecture 15 Example of Credit Card Fraud Continues
Section 5: Conclusion
Lecture 16 Conclusion
Basic knowledge in statistics, mathematics, programming,Basic knowledge of using R and excel,Passion to learn and apply


Homepage

https://www.udemy.com/course/fraud-analytics-using-r-microsoft-excel/