Analytics Engineering 101
With Maven Analytics
Liked by 2 users
Duration: 1h 19m
Skill level: Beginner + Intermediate
Released: 10/5/2026
Course details
Modern data teams rely on the analytics engineer, a role between data engineering and analysis that turns raw data into clean, trustworthy datasets ready for reporting. Understanding how that work fits together helps anyone who works with data speak the same language. In this beginner-friendly course, Alice Zhao introduces the fundamentals of analytics engineering, with no coding or prerequisites required. Explore how the role compares to data engineers and data analysts, and trace how data flows from source systems to a final dashboard. Get to know the modern data stack and the tools behind it, as well as core concepts like databases, data warehouses, data lakes, and lakehouses. Compare OLTP and OLAP systems, and understand the difference between ETL and ELT. By the end of this course, you'll be prepared to confidently speak the language of modern data teams.
This course was created by Maven Analytics. We are pleased to host this training in our library.
Skills you’ll gain
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Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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