Data engineering

CLU: 19 Jul, 2021


The IT Professional course covers Hardware, Software, Troubleshooting, Servers, Security, Open Source Operating Systems, Networking, Virtualization, Servers, Azure (Cloud) and Best Service Practices for IT Managers (ITIL).

Duration: 12 Months-10hrs/Week

Rollout format: Online

Prerequisite: Basic analytical analysis


Students will be capacitated with the knowledge, skills and experience required to get a job as a data engineer – which requires a mix of programming, cloud computing, big data knowledge and the ability to apply these skills in new and challenging domains.

Learn how to build data pipelines to work with large data sets.

This path will teach you how to use Python and pandas to work with large data sets, and load and pipe data through a Postgres database.

In this path, you’ll learn how to optimize processes for big data, build data pipelines, and more!

  • Python
  • SQL
  • Algorithms and Data Structures
  • Building Data Pipelines
  • Postgres for Data Engineering
  • Optimizing for Large Data Sets
  • Recursion and Trees

Participants will learn how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.

This qualification has been designed to provide the student with a national certificate and multiple certifications, both locally and internationally recognized by industry for maximum employability.


Data engineering