Duration
The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
Course fee
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Career Advancement Programme in Fraud Detection for Fashion E-commerce
Equip yourself with essential skills in fraud detection tailored specifically for the fashion e-commerce industry. This programme is designed for aspiring fraud analysts and e-commerce professionals looking to enhance their expertise in identifying and preventing online fraud in the fashion sector. Gain practical knowledge in transaction monitoring, chargeback management, and data analysis to safeguard e-commerce operations effectively.
Start your learning journey today and stay ahead in the ever-evolving world of fashion e-commerce!
``` Career Advancement Programme in Fraud Detection for Fashion E-commerce offers a comprehensive curriculum blending machine learning training and data analysis skills. Participants will engage in hands-on projects to develop practical skills in identifying and preventing fraudulent activities specific to the fashion industry. This self-paced learning experience allows individuals to learn from real-world examples and industry experts. By mastering the art of fraud detection in the e-commerce sector, graduates can propel their careers in the lucrative field of fashion data science. Don't miss this opportunity to stand out in the competitive landscape of online retail.The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Our Career Advancement Programme in Fraud Detection for Fashion E-commerce is designed to equip participants with the necessary skills to detect and prevent fraudulent activities within the fashion e-commerce industry. Throughout the programme, students will master Python programming, data analysis, and machine learning techniques essential for identifying and combatting fraud.
The course duration is 10 weeks, self-paced, allowing individuals to balance their professional and personal commitments while advancing their careers in fraud detection. Participants will work on real-world case studies and projects to apply their newfound knowledge and skills effectively.
This programme is highly relevant to current trends in the fashion e-commerce industry, where online fraud poses a significant threat to businesses and consumers alike. By gaining expertise in fraud detection, individuals can contribute to maintaining the integrity and security of online transactions, aligning with modern tech practices.
| Year | Number of Fraud Cases |
|---|---|
| 2018 | 320 |
| 2019 | 450 |
| 2020 | 600 |
| 2021 | 750 |