ADPA Course
Master the ADPA Course to build strong daily data pipelines that ingest, clean, and validate CSV data while calculating accurate revenue metrics like AOV and repeat rates. Deploy automated workflows using containers, schedulers, logging, and alerts, plus expose metrics through secure APIs and CLIs—key practical skills for data professionals in tech environments across Kenya and beyond.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with skills to create dependable daily data pipelines, starting from raw CSV data intake through to verified, production-grade metrics. You will master ETL techniques, schema validation, data cleaning and enhancement, precise revenue computations, and time-series summaries. Additionally, it covers workflow 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 secure storage.
- Apply strong data quality checks including schema validation, handling nulls, and detecting outliers.
- Create production-ready analytics metrics such as revenue, AOV, repeat rates, and top products.
- Automate data workflows with containers, schedulers, logging systems, and alert mechanisms.
- Deliver metrics access via efficient APIs and CLIs that are secure and ready for production use.
Suggested summary
Before starting, you can change the chapters and 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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