Strathmore University Data Engineering Programme (SUDEP)
Beginner course |

Aim

The major goal of this course is for learners to build the core skills of a data engineer: writing production quality Python, working with relational and non relational databases, using SQL confidently, managing code with Git, and packaging work with Docker, so they can build and deliver a first working data pipeline.

Delivery Mode:Virtually (5:30 PM -8:30 PM)
Contact persson:Mary Kiongera,mkiongera@strathmore.edu
Amount:KES 60,000
Intake:March
  • Basic process and lifecycle of data engineering, and how it differs from data analysis and data science
  • Introduction to Python for data engineering, including file handling, APIs, and reusable scripts
  • An applied understanding of relational databases, SQL, and NoSQL/caching stores
  • How to version control and collaborate on data engineering projects using Git and GitHub
  • How to containerize a data pipeline for reproducible, portable execution
  • How to design, build, and document a first end to end data pipeline
  • Aspiring data engineers
  • Analysts/scientists transitioning to Data Engineering
  • Computer / data science students 

High School Certificate, Personal Laptop (Must)

  • Instructor-led with hands-on labs
  • 30–40% lectures, 60–70% labs
  • Guided projects

Python

Docker

Github

PostgreSQL, MongoDB

Pandas

Amount: Kshs.  60,000

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