Tutorials > Fraud Analytics Using R & Microsoft Excel
Fraud Analytics Using R & Microsoft ExcelDate: 31 August 2022 | Posted by: voska89 |
![]() Last updated 6/2019 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.05 GB | Duration: 2h 22m 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 DOWNLOAD LINK ![]() https://rapidgator.net/file/26f9f7e0b158720636e25b31767f9b42/zbvxd.Fraud.Analytics.Using.R..Microsoft.Excel.part1.rar.html https://rapidgator.net/file/3fe39e79ad61b86befda23c2e9c19e4f/zbvxd.Fraud.Analytics.Using.R..Microsoft.Excel.part2.rar.html https://rapidgator.net/file/bf836e66fa4380b03739d30cea63d974/zbvxd.Fraud.Analytics.Using.R..Microsoft.Excel.part3.rar.html https://uploadgig.com/file/download/11194eD9614e0ac7/zbvxd.Fraud.Analytics.Using.R..Microsoft.Excel.part3.rar https://uploadgig.com/file/download/5aae4aa9c9b1393e/zbvxd.Fraud.Analytics.Using.R..Microsoft.Excel.part1.rar https://uploadgig.com/file/download/bcE32f7a6e72bFbE/zbvxd.Fraud.Analytics.Using.R..Microsoft.Excel.part2.rar ![]() https://nitroflare.com/view/278C3B2AA798B0E/zbvxd.Fraud.Analytics.Using.R..Microsoft.Excel.part1.rar https://nitroflare.com/view/CCDCAF0812AD648/zbvxd.Fraud.Analytics.Using.R..Microsoft.Excel.part2.rar https://nitroflare.com/view/F24A0A4B0413A9C/zbvxd.Fraud.Analytics.Using.R..Microsoft.Excel.part3.rar Links are Interchangeable - No Password - Single Extraction See full article |