4.2 Read 5 reviews
Overview
Context
A typical organization loses an estimated 5% of its yearly revenue to fraud. In this Fraud Detection in Python course at Data Camp, 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.
Programme Structure
Chapters
- Preparing your data
- Fraud detection using labeled data
- Fraud detection using unlabeled data
- Fraud detection using text
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data Machine Learning View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES:
- Supervised Learning with scikit-learn
- Unsupervised Learning in Python
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
Improve page content