Undergraduate Certificate in Data Cleansing Techniques

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The Undergraduate Certificate in Data Cleansing Techniques is a comprehensive course designed to equip learners with essential skills in data cleaning, an integral part of data analysis and machine learning. This certificate program emphasizes the importance of accurate, reliable, and high-quality data, addressing the rising industry demand for professionals who can effectively manage and improve data integrity.

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Throughout the course, students will gain hands-on experience in various data cleansing techniques, including data profiling, data standardization, data matching, and data validation. These skills will enable them to identify, analyze, and resolve data quality issues, ensuring that data sets are ready for further analysis and model development. Upon completion, learners will be prepared to enter or advance in various data-driven fields, such as data science, business intelligence, and machine learning engineering. The certificate serves as evidence of their expertise in data cleansing techniques, making them highly valuable candidates in today's data-centric job market.

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โ€ข Introduction to Data Cleansing Techniques
โ€ข Understanding Data Quality and Its Importance
โ€ข Data Profiling and Auditing
โ€ข Data Cleaning Tools and Software
โ€ข Data Matching and Linking Techniques
โ€ข Data Standardization and Normalization
โ€ข Data Depuration and Deduplication
โ€ข Data Validation and Verification
โ€ข Best Practices in Data Cleansing
โ€ข Real-World Data Cleansing Case Studies

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
UNDERGRADUATE CERTIFICATE IN DATA CLEANSING TECHNIQUES
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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