Python Basics
Learn Python 3 through a beginner-first progression of guided practice, mini-projects, debugging, testing, and a final command-line application.
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Data Engineering Learning Path
From Python scripts to trusted real-time platforms.
A focused, evolving curriculum for engineers learning reliable batch, distributed, streaming, and event-driven data systems.
Your learning modules
7 modulesPython + Scala
Typed foundationsKafka + Spark
Production systems
Typed foundationsKafka + Spark
Production systems
7technical courses
30structured units
178structured lessons, including premium lessons in Python Basics
1flexible curriculum
Choose the module that matches your goals
Python for Data
Build reliable data workflows with Python, pandas, NumPy, and production-grade coding practices.
View course →Scala
Build type-safe data applications with Scala 3, immutable domain models, functional transformations, concurrency, and production-grade testing.
View course →Apache Spark
Process large datasets with Spark SQL, DataFrames, partitioning, and performance-aware transformations.
View course →Data Quality
Build trustworthy data products with profiling, contracts, automated validation, and quality observability.
View course →Apache Kafka
Build event-driven systems with Kafka topics, partitions, consumer groups, delivery semantics, and schemas.
View course →Spark Structured Streaming
Design fault-tolerant streaming pipelines with event time, windows, watermarks, and checkpoints.
View course →Engineering-first learning01 02 03
Understand, practise, progress
Learn the model
Study execution, quality, state, delivery guarantees, and failure modes.
Apply the concepts
Work through technical examples, checkpoints, and the growing set of guided labs.
Build sound judgement
Learn to reason about testing, monitoring, optimization, and operational trade-offs.
Start with the module that fits your goals.
Choose any technical module and progress at your own pace.
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