Data Engineer

Python + SQL + Spark, with the warehouse knowledge to glue them together.

10–14 weeks Intermediate 99 lessons

Curriculum

1

Python (Core, OOP, Engineering)
40 lessons

From syntax to production AI apps — the language for everything.

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2

SQL (full track)
18 lessons

Analytics-grade SQL, warehouse dialects, and dbt.

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3

Pandas
13 lessons

The de-facto tool for tabular data in Python.

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4

PySpark
18 lessons

Big data at scale — Hadoop → Spark internals → production.

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5

MLOps basics
10 lessons

Ship models, not notebooks.

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