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Item #:
54334769
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)
89% of respondents would recommend this to a friend
Item #:
54334769
GHS 990
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What Stands Out
Practical Guidance
This book provides actionable insights and proven methodologies for preventing fraud and complying with AML regulations, tailored specifically for fintech and eCommerce professionals.
Technical Focus
Utilizes SQL and Python for effective data analysis, allowing readers to implement advanced techniques for fraud detection, making it suitable for both beginners and experienced professionals.
Industry Relevance
Addresses real-world challenges faced by fintech and eCommerce sectors, ensuring that the content remains applicable and practical for current market needs and regulatory demands.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | April, 2022 |
| Pages | 394 |
| Reading level | Professional & Vocational |
| Edition | 1st Edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Assembled product height | 9.13 in |
| Assembled product weight | 1.4 lb (640 grams) |
| Bisac subject heading | Computers, Business & Economics |
Who Should Buy?
-
Fintech Professionals
Ideal for fintech experts looking to implement robust fraud prevention strategies using SQL and Python analytics.
-
Ecommerce Managers
Ecommerce leaders can benefit from insights to detect and prevent fraudulent activities in online transactions effectively.
-
Data Analysts
Data analysts focused on fraud and AML can enhance their skills by applying practical SQL and Python techniques.
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Beginners
Not suitable for those who lack foundational knowledge in SQL or Python, as it requires prior expertise.
Product Description
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)
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Gilit Saporta; Shoshana Maraney All Books Editorial Review
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python offers an insightful exploration into the world of fraud prevention analytics. This non-fiction work, published by O'Reilly Media, spans 394 pages, making it ideal for professionals and vocational readers seeking to enhance their knowledge in computing and internet applications. The book deftly incorporates practical examples using SQL and Python, which are invaluable for those focused on implementing effective fraud prevention strategies in their businesses. Readers appreciate the comprehensive nature of the topics covered, making it a significant contribution to the field of fraud prevention and analytics.
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Pros
- Practical insights for fintech and ecommerce applications
- In-depth coverage of fraud prevention techniques
- Utilizes SQL and Python for real-world applications
- Suitable for professional and vocational audiences
- Published by a reputable publisher, O'Reilly Media
Cons
- No illustrations included to enhance understanding
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