Curriculum
- 15 Sections
- 56 Lessons
- 22 Hours
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- Module 1: Looker Basics + BI Workflow5
- 1.1What Looker is (semantic layer + governed BI)CopyCopyCopyCopy
- 1.2Looker vs Looker Studio (where each fits)CopyCopyCopyCopy
- 1.3Typical analytics workflow: warehouse → model → explore → dashboardCopyCopyCopyCopy
- 1.4Key terms: Explore, View, Model, LookML, Dimensions, MeasuresCopyCopyCopyCopy
- 1.5Tour Looker UI, open an Explore, run basic queries, save looksCopyCopyCopyCopy
- Module 2: Setup, Projects, and Looker IDE5
- 2.1Looker instance structure, folders, spaces, content governanceCopyCopyCopyCopy
- 2.2Looker Projects: why they matterCopyCopyCopyCopy
- 2.3Looker IDE basics: files, folders, validation, content checkCopyCopyCopyCopy
- 2.4Git connection basics (concept + workflow)CopyCopyCopyCopy
- 2.5Create/open a project, run validation, fix simple errorsCopyCopyCopyCopy
- Module 3: Connecting Data (Warehouse + Connections)4
- 3.1Connections: how Looker talks to DB/warehouseCopyCopyCopyCopy
- 3.2Understanding schemas, tables, views in a warehouseCopyCopyCopyCopy
- 3.3Connection best practices (naming, permissions, read-only users)CopyCopyCopyCopy
- 3.4Test connection (demo environment), preview tables, identify keysCopyCopyCopyCopy
- Module 4: LookML Foundations (Model + View + Explore)4
- Module 5: Dimensions & Measures That Make Sense4
- Module 6: Time Intelligence (Dates Done Properly)4
- Module 7: Joins & Relationships (Avoid Wrong Numbers)4
- Module 8: Explores That Users Love (Clean, Governed, Fast)4
- Module 9: Derived Tables (SQL Derived Table + PDT Intro)3
- Module 10: Reusable LookML Patterns (Write Less, Scale More)3
- Module 11: Building Dashboards (Not Just Pretty Tiles)4
- Module 12: Governance + Metric Definitions (Single Source of Truth)4
- Module 13: Access Control (Roles, Groups, Row-Level Control)4
- Module 14: Performance + QA (Make It Reliable)4
- Module 15: Capstone Project (End-to-End Delivery)0
Common modeling mistakes that slow queriesCopyCopyCopyCopy
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