Virtual Training
Financial Management, Banking, and Insurance
Fraud Detection for Banking Professionals Using Machine Learning Models in Python Online Course
Join our virtual, live instructor-led session and master Fraud Detection for Banking Professionals Using Machine Learning Models in Python from anywhere in the world.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Stop fraud before it starts—use machine learning to protect your bank and your customers.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| FDB-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| FDB-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| FDB-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| FDB-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| FDB-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| FDB-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Introduction to Fraud in Banking
2
Machine Learning Fundamentals for Fraud Prevention
3
Preparing and Cleaning Financial Data
4
Exploratory Data Analysis for Fraud Insights
5
Building Supervised Learning Fraud Models
6
Unsupervised Learning for Anomaly Detection
7
Balancing Detection Accuracy and False Positives
8
Deploying Fraud Detection Models
9
Real-World Case Studies
10
Communicating Fraud Detection Results
Where this course runs
Fraud Detection for Banking Professionals Using Machine Learning Models in Python is delivered in the cities below — pick the one that fits your schedule.
