Advanced Certificate in Data Science of Recommendations

Name: Advanced Certificate in Data Science of Recommendations
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The Advanced Certificate in Data Science of Recommendations is a comprehensive course designed to equip learners with essential skills in data science, specifically focusing on recommendation systems. This certification is critical for professionals aiming to advance their careers in the data-driven industry.

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AboutThisCourse

With the exponential growth of data, the demand for data science professionals has skyrocketed. Companies across industries are seeking experts who can leverage data to drive decision-making and innovation. The Advanced Certificate in Data Science of Recommendations provides learners with the knowledge and skills to design and implement recommendation systems, filling a vital role in today's data-centric organizations. This course covers essential topics, including collaborative filtering, content-based filtering, and hybrid methods. Learners will gain hands-on experience working with real-world datasets, providing them with a solid foundation in data science and recommendations. By completing this certificate course, learners will be well-prepared for exciting career opportunities in data science, recommendation systems, and related fields.

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CourseDetails

• Advanced Machine Learning Algorithms
• Recommendation System Architectures
• Collaborative Filtering Techniques
• Content-Based Filtering Methods
• Hybrid Filtering Approaches
• Deep Learning for Recommendations
• Evaluation Metrics in Data Science of Recommendations
• Ethical Considerations and Bias in Recommender Systems
• Real-World Applications of Data Science of Recommendations

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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ADVANCED CERTIFICATE IN DATA SCIENCE OF RECOMMENDATIONS

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London School of International Business (LSIB)

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05 May 2025

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