Dive into the world of big datasets using SQL, Python, and AWS. Our Data Engineering course guides you through managing vast amounts of data, from understanding storage requirements to building end-to-end pipelines and efficiently handling distributed data systems.
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Full-time (12 months)
*Includes a 4-month internship
(excl. self-funded)
Applications are closed.
Register to be notified for July 2024 intake reopening.
Part-time (12 months)
No internship
Applications are closed.
Register to be notified for July 2024 intake reopening.
You deal with vast amounts of data, navigating their complexities to store and process them efficiently.
You design and implement solid data architectures, laying the foundation for analytics and operations.
You set up processes for a smooth transformation of data from its raw form to an analysis-ready state.
Consistency is key. You maintain both relational and non-relational databases, offering efficient and reliable access.
As the volume of data grows, you adapt, scaling systems to always meet new data challenges.
This course will provide students with the knowledge, skills, and experience to get a job as a data engineer.
An educational entrepreneur, Maddy has 15 years of experience teaching maths and statistics. With a BSc in the same field, she also graduated at the top of our Data Science class of 2020.
A computer science master's graduate turned data scientist, Nthikeng offers a deep expertise in supervised and unsupervised learning, elevating the quality and depth of our Academy courses.
Vince is a technical lead in the enterprise division of ExploreAI. Busy with his PhD in engineering and with a deep knowledge of big data, Vince ensures our data engineering content is of the highest quality.
Andries holds an MSc in bioinformatics. He joined ExploreAI as a data scientist and is an alumnus of our data science qualification. He is now a Senior Data Engineer in ExploreAI’s enterprise division.
Chelsea leads creative media production at ExploreAI. Holding a BA(Hons) in Film and Media, she melds storytelling with e-learning, achieving a balance of entertainment and education.
Pay in a way that matches your budget. Pay up front, monthly or with a loan.
Get paid to study, by applying for a scholarship or having your employer fund your qualification.
