Certificate in Ad Attribution and Privacy-Preserving Techniques

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The Certificate in Ad Attribution and Privacy-Preserving Techniques is a comprehensive course designed to meet the growing industry demand for experts who can balance ad attribution and user privacy. This course emphasizes the importance of understanding how to accurately measure the impact of advertising campaigns while ensuring the privacy of users, a critical skill in today's data-driven world.

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By enrolling in this course, learners will gain essential skills in ad attribution models, data analysis, and privacy-preserving techniques such as differential privacy and secure multi-party computation. These skills are highly sought after by employers in various industries, including advertising, technology, and e-commerce. Upon completion of the course, learners will be equipped with the knowledge and skills necessary to design and implement effective ad attribution models that comply with privacy regulations and protect user data. This will not only enhance their career prospects but also contribute to building a safer and more privacy-conscious digital advertising ecosystem.

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โ€ข Introduction to Ad Attribution: Understanding the basics of ad attribution, its importance, and the challenges it presents. โ€ข Tracking Methods: Exploring various tracking techniques, including pixel tracking, cookie tracking, and fingerprinting. โ€ข Mobile Attribution: Examining attribution challenges and solutions specific to mobile devices, such as IDFA and GAID. โ€ข Cross-Device Attribution: Strategies for tracking users across multiple devices and platforms. โ€ข Privacy Regulations: Overview of major privacy laws, such as GDPR, CCPA, and PECR, and their impact on ad attribution. โ€ข Privacy-Preserving Techniques: Investigating techniques that protect user privacy while enabling ad attribution, such as differential privacy, secure multi-party computation, and on-device processing. โ€ข Data Governance: Best practices for managing and protecting user data, including data minimization, data retention policies, and data access controls. โ€ข Attribution Models: Studying different attribution models, such as last-click, first-click, and multi-touch, and their implications on ad measurement. โ€ข Fraud Detection: Learning to identify and combat fraudulent ad activities, such as click spamming, click injection, and bot traffic.

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CERTIFICATE IN AD ATTRIBUTION AND PRIVACY-PRESERVING TECHNIQUES
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ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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