Advanced Certificate in Ad Fraud & Data Science

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The Advanced Certificate in Ad Fraud & Data Science is a comprehensive course that addresses the growing challenge of ad fraud in the digital advertising industry. This certification equips learners with essential data science skills to detect, prevent, and combat ad fraud, making them highly valuable in the job market.

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AboutThisCourse

With the escalating costs of ad fraud, currently estimated at $50 billion annually, there is a rising industry demand for experts who can manage and mitigate this risk. This course covers key topics such as data analysis, machine learning, and digital advertising, providing learners with a deep understanding of ad fraud detection and prevention strategies. By completing this course, learners will acquire the necessary skills to identify and combat ad fraud, making them highly attractive to employers in advertising agencies, digital marketing firms, and e-commerce companies. Career advancement opportunities include roles such as Ad Fraud Analyst, Data Scientist, and Digital Marketing Specialist.

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CourseDetails

โ€ข Ad Fraud Detection
โ€ข Machine Learning Techniques in Ad Fraud
โ€ข Data Mining and Data Analysis in Ad Fraud
โ€ข Fraudulent Behavior Patterns in Advertising
โ€ข Big Data and Ad Fraud
โ€ข Ad Fraud Analytics Tools
โ€ข Data Visualization in Ad Fraud
โ€ข Statistical Methods in Ad Fraud
โ€ข Ad Fraud Impact and Mitigation Strategies

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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
CompleteInOneMonth
AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
  • OpenEnrollmentStartAnytime
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StandardMode GBP £90
CompleteInTwoMonths
FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • FullCourseAccess
  • DigitalCertificate
  • CourseMaterials
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ADVANCED CERTIFICATE IN AD FRAUD & DATA SCIENCE
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London School of International Business (LSIB)
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05 May 2025
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