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[Tutorialsplanet.NET] Udemy - Fraud Analytics using R & Microsoft Excel

[Tutorialsplanet.NET] Udemy - Fraud Analytics using R & Microsoft Excel

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2.1 GB
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32
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Other
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Description
Udemy - Fraud Analytics Using R & Microsoft Excel [TP]



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 Fraud

Different Types of Fraud

Fraud Analytics & Importance

Traditional Fraud Detection Method

Fraud Detection – BIG Data Approach

Fraud Detection, Prevention & Analytics

Case Study : Credit Card Fraud Detection

File list
  • [Tutorialsplanet.NET] Udemy - Fraud Analytics using R & Microsoft Excel
  • 1. Introduction/1. Introduction to Fraud.mp4 207.6 MB
  • 1. Introduction/1. Introduction to Fraud.vtt 15.3 KB
  • 2. Types of Fraud and Detail Fraud Analytics/1. Types of Fraud.mp4 142.9 MB
  • 2. Types of Fraud and Detail Fraud Analytics/1. Types of Fraud.vtt 10.3 KB
  • 2. Types of Fraud and Detail Fraud Analytics/2. Fraud Analytics.mp4 100.2 MB
  • 2. Types of Fraud and Detail Fraud Analytics/2. Fraud Analytics.vtt 8.4 KB
  • 2. Types of Fraud and Detail Fraud Analytics/3. Details of Fraud.mp4 134.4 MB
  • 2. Types of Fraud and Detail Fraud Analytics/3. Details of Fraud.vtt 11.5 KB
  • 2. Types of Fraud and Detail Fraud Analytics/4. Traditional Fraud Detection Method.mp4 157.4 MB
  • 2. Types of Fraud and Detail Fraud Analytics/4. Traditional Fraud Detection Method.vtt 11.7 KB
  • 3. BIG DATA Approach/1. Fraud Detection - BIG DATA Approach.mp4 98.1 MB
  • 3. BIG DATA Approach/1. Fraud Detection - BIG DATA Approach.vtt 7.3 KB
  • 3. BIG DATA Approach/2. Supervised Learning.mp4 195 MB
  • 3. BIG DATA Approach/2. Supervised Learning.vtt 14.2 KB
  • 3. BIG DATA Approach/3. Unsupervised Learning.mp4 126.2 MB
  • 3. BIG DATA Approach/3. Unsupervised Learning.vtt 9.3 KB
  • 3. BIG DATA Approach/4. Fraud Cycle.mp4 110.9 MB
  • 3. BIG DATA Approach/4. Fraud Cycle.vtt 8.8 KB
  • 3. BIG DATA Approach/5. Fraud Cycle Continues.mp4 148.3 MB
  • 3. BIG DATA Approach/5. Fraud Cycle Continues.vtt 11.2 KB
  • 3. BIG DATA Approach/6. High Level Strategy.mp4 173.9 MB
  • 3. BIG DATA Approach/6. High Level Strategy.vtt 13.8 KB
  • 3. BIG DATA Approach/7. Fraud Analytics Benefits.mp4 123.6 MB
  • 3. BIG DATA Approach/7. Fraud Analytics Benefits.vtt 9.3 KB
  • 4. Case Study/1. Credit Card Fraud.mp4 117.9 MB
  • 4. Case Study/1. Credit Card Fraud.vtt 9.3 KB
  • 4. Case Study/2. Example of Credit Card Fraud.mp4 95.1 MB
  • 4. Case Study/2. Example of Credit Card Fraud.vtt 14.8 KB
  • 4. Case Study/3. Example of Credit Card Fraud Continues.mp4 78.5 MB
  • 4. Case Study/3. Example of Credit Card Fraud Continues.vtt 12.8 KB
  • 5. Conclusion/1. Conclusion.mp4 89.7 MB
  • 5. Conclusion/1. Conclusion.vtt 12.7 KB

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