Data Quality Check, Profiling and Debugging

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Develop strong, industry-relevant skills in ensuring data accuracy, consistency, and reliability through this comprehensive course in Data Quality Check, Profiling, and Debugging. You’ll learn how to analyze and debug SQL queries, apply data standardization techniques, identify and remove duplicates, handle missing values, and perform critical data profiling tasks to understand the structure and health of your datasets. You will also explore validation techniques that ensure reports and pipelines meet business requirements, and practice diagnosing common data quality issues through routine checks and targeted profiling queries. This course brings together expertise from IBM, Google, Microsoft, and Unilever, giving you multiple perspectives on data quality management across spreadsheets, SQL, Python, and Power BI. You’ll progress from foundational SQL debugging and spreadsheet-based cleaning to programmatic data manipulation, ETL optimization, and advanced profiling in modern BI tools. Each module blends conceptual clarity with hands-on exercises to help you confidently clean, validate, and troubleshoot data in real-world analytics and reporting scenarios. Ideal for aspiring data analysts, data engineers, and professionals seeking to strengthen their data quality and debugging skills across diverse tools and environments.

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