ADPA Course
Master the ADPA Course to build strong daily data pipelines that ingest, clean, and validate CSV data, calculate precise revenue metrics like AOV and repeat rates, and automate ETL workflows using containers, schedulers, and APIs. These hands-on skills are vital for data professionals in tech environments, ensuring trustworthy and efficient analytics outputs.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This ADPA Course guides you in creating dependable daily data pipelines, starting from raw CSV data intake up to validated, production-grade metrics. You will master practical ETL techniques, schema validation, data cleaning and enhancement, precise revenue computations, and time-series summaries. Additionally, it includes orchestration, logging, CI/CD processes, and simple APIs plus CLIs to ensure your metrics are reliable, trackable, and user-friendly.
Elevify advantages
Develop skills
- Build robust daily ETL pipelines for data ingestion, cleaning, enrichment, and storage.
- Apply data quality checks including schema validation, null handling, and outlier detection.
- Create key analytics metrics such as revenue, average order value, repeat rates, and top products.
- Automate data workflows with containers, schedulers, logging systems, and alert mechanisms.
- Deliver metrics through secure APIs and CLIs for quick production access.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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