Global Certificate in Data Science for Ad Targeting

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The Global Certificate in Data Science for Ad Targeting is a comprehensive course that equips learners with essential skills for career advancement in the rapidly growing field of data-driven advertising. This program emphasizes the importance of data-driven decision making in advertising, focusing on ad targeting strategies and techniques using machine learning algorithms.

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With the ever-increasing industry demand for data science professionals, this course offers learners a competitive edge by teaching them how to apply data science principles and tools to optimize ad targeting campaigns. Learners will master essential skills, such as data mining, data visualization, predictive modeling, and statistical analysis, to drive effective ad targeting and maximize ROI. Upon completion, learners will be able to demonstrate their proficiency in data-driven ad targeting, making them highly attractive to potential employers. By earning this globally recognized certification, learners will be prepared to excel in various roles, such as Data Scientist, Marketing Analyst, and Ad Targeting Specialist, and make meaningful contributions to the success of their organizations.

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โ€ข Unit 1: Introduction to Data Science for Ad Targeting
โ€ข Unit 2: Data Collection and Management for Ad Targeting
โ€ข Unit 3: Data Preprocessing and Cleaning
โ€ข Unit 4: Statistical Analysis and Modeling
โ€ข Unit 5: Machine Learning Algorithms for Ad Targeting
โ€ข Unit 6: Data Visualization and Interpretation
โ€ข Unit 7: Ethical Considerations in Ad Targeting
โ€ข Unit 8: Evaluation Metrics and Model Selection
โ€ข Unit 9: Big Data and Cloud Computing for Ad Targeting
โ€ข Unit 10: Advanced Topics in Data Science for Ad Targeting (Deep Learning, Natural Language Processing, etc.)

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN DATA SCIENCE FOR AD TARGETING
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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