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Write complex multi-table joins, analytic window functions, and database schemas. SQL (Structured Query Language) is the global standard language for interacting with relational databases. It allows you to organize, query, clean, and analyze gigabytes of raw records.

Fundamental skill required for every software developer, data scientist, and business analyst.

Enables rapid aggregations over millions of rows of data.

Highly portable across database systems like PostgreSQL, MySQL, SQL Server, and BigQuery.

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Step-by-step master plan, cheat sheets, interview preparation templates, and recommended projects compiled by engineering leads.

Interactive Learning Resources

Curated Tutorials

Mastering Relational Joins

15 MinsBeginner

Learn to combine data across separate relational tables using different join mechanisms.

Execute INNER JOIN to pull matching records between primary keys.
Utilize LEFT JOIN to preserve all left-side records even when matching keys are absent.
Combine datasets using UNION operations while auditing column alignments.

Analytic Window Functions

25 MinsAdvanced

Run calculations across sets of rows related to the current row without grouping the results.

Implement ROW_NUMBER(), RANK(), and DENSE_RANK() to partition records.
Compute moving averages and rolling sums using window frames (ROWS BETWEEN).
Calculate lead/lag variations to compare metric shifts over chronological series.

Practice Project

E-Commerce Cohort Analysis & Metric Dashboard

Write complex SQL metrics to analyze monthly retention cohorts, customer lifespans, and average order values.

Key Implementation Deliverables:

Group users into cohort buckets based on their registration date.
Calculate transaction rates across sequential monthly offsets.
Compile metrics into flat structures suitable for dashboard rendering.

Project DifficultyAdvanced

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