Analytics Engineer (Modern Data Role)

Analytics Engineer (Modern Data Role)

Become a modern Analytics Engineer by mastering advanced SQL, analytics engineering principles, dbt transformations, analytics data modeling, metric layers, BI integration, reverse ETL, and version-controlled analytics workflows. Includes a hands-on analytics platform capstone using dbt and a BI tool.

  • 4 Phases
  • 12 Lessons
  • 5.3 Hrs
  • Beginner Advanced
Category Cloud computing
Analytics Engineer (Modern Data Role)
Learning Path 12 Lessons 5.3 Hrs

Start Phase
  • Analytics Engineering Overview 26:11
  • Analytics vs Data Engineering 09:00
  • Modern Data Stack: Engineering Foundations 17:12

Start Phase
  • Advanced SQL: Window Functions 10
  • dbt Transformations: End-to-End Analytics Pipelines 30
  • Testing dbt Models 10
  • Version Control (Git) 18:53

Start Phase
  • Analytics Data Modeling: Star Schema Basics 16:33
  • Semantic Models & Metrics (Power BI Perspective) 27:30
  • Power BI Data Modeling Basics 24:53
  • Reverse ETL 8:26

Start Phase
  • End-to-End Analytics & Data Engineering Project 122:00

Start your Analytics Engineer (Modern Data Role) journey

Learn at your own pace. Total estimated time 5.3 hours

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