Data Modelling in Analytics focuses on structuring data in a way that supports efficient analysis, reporting, and decision-making. It involves defining how data is organized, related, and stored to ensure consistency and accuracy across analytical systems. This training explains key modeling approaches such as conceptual, logical, and physical data models. It also covers relationships, attributes, normalization, and schema design techniques used in analytics environments. You will learn how to transform raw data into well-structured models that improve query performance and business insights. The course also highlights best practices for building scalable and reliable data models for dashboards, reporting systems, and advanced analytics platforms.
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