A DataCamp course that demystifies the discipline behind analytics and AI — with no coding. In about two hours it explains how data engineers store and process data, build and schedule pipelines, and use cloud tools. A clear conceptual orientation, ideal before deciding whether to pursue hands-on data-engineering study.
Good for: A no-code orientation to what data engineering actually is.
Less suitable if: You want hands-on pipeline building or you already know the field.
Skills you'll gain
Data engineeringData pipelinesETL conceptsCloud dataData storage
Is this course right for you?
A good fit if you…
You want to understand data engineering
You prefer no-code learning
You are deciding whether to go deeper
Consider something else if you…
You want hands-on pipeline building
You already work in data engineering
You want to write code
Requirements: None.
Realistic time: Around 2 hours.
About this course
Understanding Data Engineering demystifies the discipline that makes analytics and AI possible. In about two hours, with no coding, it explains how data engineers store and process data, build and schedule pipelines, and use cloud computing — taught through the fictional company Spotflix so the concepts stay concrete.
What you'll learn
Explain what data engineers do
Distinguish data storage approaches
Understand batch and stream processing
Follow how data pipelines work
See the role of cloud computing in data
Speak the language of data engineering
This course includes
2h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription.
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