Professional Certificate in Data Science with Spectral Clustering

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The Professional Certificate in Data Science with Spectral Clustering is a comprehensive course that equips learners with essential skills for career advancement in the data science industry. This program covers a wide range of topics including data manipulation, data analysis, data visualization, and machine learning algorithms, with a particular focus on spectral clustering.

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In today's data-driven world, there is a high demand for data science professionals who can extract valuable insights from large and complex datasets. This course provides learners with the practical skills and knowledge needed to meet this demand and excel in their careers. By completing this program, learners will be able to analyze and interpret data using industry-standard tools and techniques, and apply machine learning algorithms to solve real-world problems. They will also gain hands-on experience with spectral clustering, a powerful technique for identifying patterns and structures in complex datasets. With these skills, learners will be well-positioned to succeed in a variety of data science roles, including data analyst, data scientist, and machine learning engineer.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Unit 1: Introduction to Data Science & Spectral Clustering
โ€ข Unit 2: Data Preprocessing & Cleaning
โ€ข Unit 3: Statistical Analysis in Data Science
โ€ข Unit 4: Data Visualization Techniques
โ€ข Unit 5: Machine Learning Fundamentals
โ€ข Unit 6: Spectral Clustering Algorithm: Theory & Implementation
โ€ข Unit 7: Applying Spectral Clustering in Real-world Scenarios
โ€ข Unit 8: Advanced Topics: Spectral Clustering Optimization & Applications
โ€ข Unit 9: Data Science Project: Applying Spectral Clustering
โ€ข Unit 10: Data Science Best Practices & Ethics

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN DATA SCIENCE WITH SPECTRAL CLUSTERING
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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