CodersSecret

Course guide

Analytics Engineering Course for Beginners

A beginner-friendly analytics engineering course covering dbt, models, tests, metrics, semantic layers, and lineage from raw tables to trusted dashboards.

Analytics engineering is the practice of turning raw warehouse data into trusted, tested, documented business-ready models and metrics. This free CodersSecret course starts with table grain and SQL basics, then builds toward dbt, semantic layers, metrics, lineage, and CI/CD.

Who This Is For

If you are a fresher, data analyst, backend engineer, or junior data engineer, this course gives you the mental model behind production analytics work before forcing tool setup.

Learning path

Continue from concept to implementation

These course modules place this topic in context, connect it to adjacent decisions, and provide the practical next step.

Module 1

What Analytics Engineering Actually Is

Understand the job: turn raw tables into trusted business meaning.

75 minutes | 3 learning objectives

Module 2

Tables, Grain, and Why Dashboards Lie

Learn the most important beginner concept: one row per what?

90 minutes | 3 learning objectives

Module 3

The dbt Mental Model

Understand sources, refs, models, DAGs, and materializations without setup friction.

90 minutes | 3 learning objectives

Practical outcomes

What the recommended module teaches

  • Explain analytics engineering in beginner-friendly language
  • Separate data engineering, analytics engineering, and BI work
  • Understand why trust matters more than query cleverness