Learn how data actually moves: pipelines, warehouses and scheduling, explained plainly and practised hands-on.
Outcomes
Curriculum
An indicative outline of the modules and what each covers. Work through them in order, at your own pace.
Portfolio
A certificate proves you finished. The work you build along the way is what gets you hired.
A small pipeline that takes raw files, cleans them and loads them into a queryable table on a schedule.
A written design for a realistic business scenario: sources, storage, schedule and quality checks, with your reasoning.
Fit
When not to buy this course
If your goal is analysing data rather than moving it, SQL and Power BI will pay off sooner. Come back here when you start wondering where all that data comes from.
Good to know
It helps a lot. SQL is the working language of warehouses, and our Certificate in SQL is the ideal companion. You can follow the concepts without it, but the hands-on parts make more sense with it.
The concepts are not. This course keeps code light and explanations plain. Full-time data engineering roles do involve programming, and Python Programming is the natural next step if you head that way.
Free and accessible ones. You can practise with free databases like SQLite and PostgreSQL, and BigQuery has a free tier for exploring a real cloud warehouse.
Analysts answer questions with data; engineers build the systems that deliver it. If you like questions about people and decisions, lean analyst. If you like building things that run reliably, lean engineer. This course helps you feel out the engineering side.
Every course has a 7-day money-back guarantee. If it does not fit, we refund you.
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