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Fraud Detection in Python

Intermediate
4.7+
35 reviews
Updated 04/2025
Learn how to detect fraud using Python.
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PythonMachine Learning4 hours16 videos57 Exercises4,800 XP19,729Statement of Accomplishment

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Course Description

A typical organization loses an estimated 5% of its yearly revenue to fraud. In this course, you will learn how to fight fraud by using data. For example, you'll learn how to apply supervised learning algorithms to detect fraudulent behavior similar to past ones, as well as unsupervised learning methods to discover new types of fraud activities. Moreover, in fraud analytics you often deal with highly imbalanced datasets when classifying fraud versus non-fraud, and during this course you will pick up some techniques on how to deal with that. The course provides a mix of technical and theoretical insights and shows you hands-on how to practically implement fraud detection models. In addition, you will get tips and advice from real-life experience to help you prevent making common mistakes in fraud analytics.

Prerequisites

Unsupervised Learning in PythonSupervised Learning with scikit-learn
1

Introduction and preparing your data

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2

Fraud detection using labeled data

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3

Fraud detection using unlabeled data

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4

Fraud detection using text

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Fraud Detection in Python
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*4.7
from 35 reviews
74%
26%
0%
0%
0%
  • Nour
    1 day

    Such a great course. It reviews many concepts while teaching you something new about each! I enjoyed it.

  • Abel
    1 day

  • Rushikesh
    3 days

    last 2 chapters were at pretty fast paced but overall course was very intuitive and useful.

  • Zaahir
    10 days

  • Saurabh
    12 days

    It is very well structured. Easy to understand and also implement. It has helped me a lot in making my foundations strong. Would request to provide jupyter notebooks also for the full code examples.

  • alberto
    1 day

    Dificulties instaling packeges

"Such a great course. It reviews many concepts while teaching you something new about each! I enjoyed it."

Nour

Abel

"last 2 chapters were at pretty fast paced but overall course was very intuitive and useful."

Rushikesh

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