Understanding core logic, solving problems, building code fundamentals
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Gained practical experience in model building, evaluation metrics, and end-to-end ML development.
Built a strong base in data science concepts, analytics workflow and real-world data applications.
Learned ML fundamentals including neural networks, AI concepts and hands-on training with real
Automated data cleaning and preparation pipelines for analytics reporting
Essential relational DB querying—filtering, grouping, sorting, data retrieval
Advanced querying, joins, aggregations, KPI extraction and multi-table analysis
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