Masterclass Certificate in Data Science for E-commerce Ad Testing

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The Masterclass Certificate in Data Science for E-commerce Ad Testing is a comprehensive course designed to equip learners with essential data science skills for e-commerce advertising. This program emphasizes the importance of data-driven decision-making in e-commerce advertising, highlighting the crucial role of data science in optimizing ad testing and campaign performance.

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AboutThisCourse

In today's digital economy, the demand for data-savvy professionals in e-commerce is skyrocketing. This course prepares learners to meet this demand by teaching them how to apply data science techniques to e-commerce ad testing, enabling them to make informed, data-backed decisions that drive business growth. Throughout the course, learners will gain hands-on experience with a variety of data science tools and techniques, including statistical analysis, machine learning, and data visualization. By the end of the program, learners will be well-equipped with the skills and knowledge needed to advance their careers in e-commerce, advertising, and data science.

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CourseDetails

โ€ข Fundamentals of Data Science & E-commerce Ad Testing
โ€ข Data Analysis for E-commerce Ad Testing
โ€ข Statistical Methods in Data Science
โ€ข Machine Learning Algorithms in Ad Testing
โ€ข Data Visualization for E-commerce Ad Performance
โ€ข A/B Testing and Experimentation Design
โ€ข Predictive Analytics in Ad Optimization
โ€ข Natural Language Processing for Ad Content Analysis
โ€ข Data Management and Security in Ad Testing
โ€ข Real-world Applications and Case Studies in Data Science for E-commerce Ad Testing

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
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StandardMode GBP £90
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
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MASTERCLASS CERTIFICATE IN DATA SCIENCE FOR E-COMMERCE AD TESTING
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London School of International Business (LSIB)
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05 May 2025
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