Objectives
- Design an analytical data model
- Build robust ETL/ELT pipelines
- Orchestrate and monitor jobs
- Deploy a data platform in the cloud
Curriculum
- Python for data24 h
- Modelling & data warehouses24 h
- ETL/ELT pipelines with dbt28 h
- Orchestration with Airflow24 h
- Cloud & containers26 h
- Project: end-to-end data platform24 h
Audience & prerequisites
Audience: Developers, database administrators, analysts moving into engineering.
Prerequisites: Programming basics (Python or another language) and SQL.
Tools used
PythonPostgreSQLdbtAirflowDocker
Assessment and certification
The programme ends with a practical project assessed by a panel of practitioners. Passing it earns the Africa Data Entry certificate « Data Engineer ».
Enrolment
An advisor will contact you within 48 hours to confirm your enrolment and funding.