Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python Paperback
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Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python Paperback
This practical book provides best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python Paperback
Nr produktu: 54334769

Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python Paperback

Nr produktu: 54334769

PLN 266

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This practical book provides best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.
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Co wyróżnia ten produkt

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.

Szczegóły Produktu

Discover effective fraud prevention techniques for Fintech and Ecommerce using SQL and Python. Get the key insights to safeguard your transactions. Visit Ubuy Poland.
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Pages394
Reading levelProfessional & Vocational
Edition1st Edition
PublisherO'Reilly Media
Original languagesEnglish
LanguageEnglish
Assembled product height9.13 in (23.2 cm)
Assembled product weight1.4 lb (640 grams)
Bisac subject headingComputers, Business & Economics

Dla kogo jest przeznaczony?

Suitable For
  • 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.

Not Suitable For
  • Beginners

    Not suitable for those who lack foundational knowledge in SQL or Python, as it requires prior expertise.

  • General Audience

    Individuals without a specific interest in fraud prevention or ecommerce may find the content too niche.

  • Non-Technical Roles

    Professionals in non-technical roles may struggle to apply concepts effectively without a technical background.

OPIS PRODUKTU

Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python Paperback

About This Item

Introducing our latest book, "Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python". This comprehensive guide is a must-have for anyone in the fintech or ecommerce industry who wants to stay ahead of the game and protect their business from fraud. With the increasing prevalence of fraud in today's digital landscape, it's crucial for businesses to have effective fraud prevention strategies in place. This book provides valuable insights and techniques to help you detect and prevent fraud, ensuring the safety and security of your customers' transactions. Written by industry experts, this book covers a wide range of topics, including fraud prevention analytics, fraud detection techniques, and AML (Anti-Money Laundering) analytics for ecommerce.

It also explores the use of SQL and Python, two powerful programming languages, to implement fraud prevention measures effectively. Whether you are a fintech professional looking to strengthen your fraud prevention strategies or an ecommerce business owner seeking to safeguard your customers, this book has got you covered. Inside, you'll find practical tips, case studies, and real-world examples that will help you understand the complexities of fraud prevention and equip you with the necessary tools to combat it. By incorporating the knowledge and techniques shared in this book, you will be able to develop robust fraud prevention systems, implement fraud prevention best practices, and effectively analyze data using SQL and Python. Stay one step ahead of fraudsters and protect your business's reputation and financial integrity. Don't let fraud compromise the success of your fintech or ecommerce venture.

Get your hands on "Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python" and take proactive steps towards securing your business today.

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Pytania i odpowiedzi klientów

  • pytanie: Who is this book for?

    odpowiedź: This book is ideal for data scientists, data analysts, and fraud analysts.
  • pytanie: What topics are covered in the book?

    odpowiedź: Topics include current fraud attacks, prevention strategies, and data science methodologies.
  • pytanie: How will this book help businesses?

    odpowiedź: It provides crucial insights and tools to protect organizations from evolving fraud threats.

Gilit Saporta; Shoshana Maraney All Books Editorial Review

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PLN 266

Zamów teraz i otrzymaj około Piątek, Lipiec 24

QTY:

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Cechy i zalety

  • Learn to detect and prevent fraud in fintech and ecommerce.
  • Gain insights from experienced fraud fighters Gilit Saporta and Shoshana Maraney.
  • Examine current fraud attacks and learn effective mitigation strategies.
  • Find a balance between fraud prevention and customer experience.
  • Enhance team collaboration with practical frameworks and methodologies.
  • Cover multiple sectors including banking, cryptocurrency, and ad tech.

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