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Home Data Science Data Science Courses FRAUD ANALYTICS Course Bundle – 3 Courses in 1

FRAUD ANALYTICS
Specialization | 3 Course Series

This Fraud Analytics Training includes 3 courses with 5+ hours of video tutorials and One year access. You get to develop knowledge on various fraud detections and preventions which include detection measures, fraud detection analytics, investigating ideas and techniques to find out the frauds and also know the risk management so as to reduce the fraud.

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4.5 (14,774 ratings)

* One Time Payment & Get One year access

Offer ends in:

What you'll get

  • 5+ Hours
  • 3 Courses
  • Course Completion Certificates
  • One year access
  • Self-paced Courses
  • Technical Support
  • Mobile App Access
  • Case Studies

Synopsis

  • Courses: You get access to all 3 courses, the Projects bundle. You do not need to purchase each course separately.
  • Hours: 5+ Video Hours
  • Core Coverage: The main aim of this course is to provide a wide understanding of fraud detection analytics and students or professionals will also get to understand the robust internal controls and risk management system in organizations.
  • Course Validity: One year access
  • Eligibility: Anyone serious about learning fraud analytics
  • Pre-Requisites: Basic knowledge about R programming
  • What do you get? Certificate of Completion for each of the 3 courses, Projects
  • Certification Type: Course Completion Certificates
  • Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
  • Type of Training: Video Course – Self-Paced Learning

Content

  • FRAUD ANALYTICS

    Courses No. of Hours Certificates Details
    Project - Fraud Analytics using R2h 34m✔
    Project on ML - Fraud Detection in Credit Payments1h 51m✔
    Project on ML - Banking and Credit Frauds44m✔

Description

In general, fraud can be defined as some illegal or criminal thing done by any person who intended to deceive in financial organizations or personal profit. So the processes of analyzing such illegitimate transactions done by anyone like buyer or customer are caught and only the legal transactions are allowed to be made. As fraud is increasing in day to day life so to analyze frauds that are occurring in the organizations or companies these frauds are analyzed using some quantitative science to understand the fraud, through BI (Business Intelligence), and then we have to develop effective fraud detection solutions through data science.

To carry on the fraud analytics we have to detect the frauds to find the proper solutions to overcome these illegal activities. Fraud detection is a process having different sub-processes to carry on, for detecting activities that take place to prevent money or credentials from being illegally known to another person.

Sample Certificate

Course Certification

Requirements

      This course does not require any such technical subjects’ degree as such. But there few pre-requisites that are needed to understand better. They are:

 

  • To undergo this Fraud Analytics Training, we need to have a few basic knowledge on topics like machine learning algorithms such as KNN, Kmeans, etc.
  • For this course, you should also have to know some concepts of data science that are useful in data analysis such as data mining, etc.
  • You also need to know some basics of how to write R programs so that it is easy to implement and understand the concepts and resolve the problems quickly.
  • There are no such knowledge that you should know about bank the only thing is to know about the bank is how the banking system works and how are the transactions taking place.

Target Audience

  • To undergo this course, students, professionals, product managers, or any other who are interested in learning about fraud analytics can take up this Fraud Analytics Training.
  • Even marketing professionals can also take up this course so that they can make their customers beware of frauds that are taking place.
  • Marketing professionals or researchers also can take up this course so that they can upgrade their skills or can gain knowledge on new fraud that is there in today’s banking sectors.

Course Ratings

  • Swati Srivastava
    Fraud Analytics

    Fraud Analytics is a very simplified course for beginners.The structure of the course was very appropriate.All the concepts have been explained very well.The supervised and unsupervised learning for fraud analytics were the most noticeable concepts in this course.The example cited to explain supervised was also very enlightening.

    Swati Srivastava

* One Time Payment & Get One year access

Offer ends in:

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Course Curriculum
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    CoursesNo. of Hours
    Project - Fraud Analytics using R2h 34m
    Project on ML - Fraud Detection in Credit Payments1h 51m
    Project on ML - Banking and Credit Frauds1h 15m

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