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Home›Challenges›Learning Paths

Learning Paths

Structured, ordered sequences through the challenge catalogue -- know what to learn first, what to practice next, and how far you've come. Sign in to track your progress.

SQL: Beginner to Advanced

A structured path through the SQL challenge catalog: start with filtering and basic aggregation, build up through joins, subqueries and CTEs, master window functions, then apply everything to advanced, real-world analytics.

SQL6 stages30 required challenges

View Path →

PySpark: Beginner to Advanced

A structured path through the PySpark challenge catalog: DataFrame basics, core transformations, aggregation and joins, window functions, data cleaning, then advanced and real-world pipeline scenarios.

PySpark7 stages28 required challenges

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Data Engineering Foundations

A beginner-friendly path mixing SQL and PySpark: the same data-engineering fundamentals -- filtering, aggregation, joins, deduplication, window functions and incremental processing -- practiced in both languages side by side.

SQL + PySpark8 stages28 required challenges

View Path →

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