Advanced Data Wrangling with SQL

О курсе

Master the advanced techniques needed to wrangle, transform, and prepare complex datasets for business intelligence with this in-depth course on Advanced Data Wrangling with SQL. You’ll learn how to apply sophisticated SQL functions, conditional logic, and programmatic validation to cleanse and shape data for analysis. The course also covers advanced feature creation, dimensional modeling, and retrieval of large relational datasets, enabling you to build business-specific metrics, derived fields, and high-value analytical transformations. Beyond SQL, you’ll explore complementary skills including R-based logic handling, statistical and visual methods for detecting outliers, and the evaluation of outlier-handling strategies. You’ll also gain experience working with cloud-scale optimization approaches and learn how DAX time-intelligence functions support period-over-period analysis of growth, seasonality, and performance trends. Drawing from the expertise of Microsoft, Google, Meta, Fractal Analytics, IBM, and Google Cloud, this course blends multi-tool perspectives to mirror the realities of modern data work. By the end, you’ll be equipped to perform complex SQL transformations, support BI reporting needs, analyze dimensional models, and build analytically robust, enterprise-ready datasets for downstream insight generation.

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