Looker Studio Dashboards
Turn your Google data into a dashboard anyone can open by link
About this course
This course teaches anyone who lives in spreadsheets and Google Analytics to replace manual screenshot reports with a single Looker Studio dashboard that refreshes itself and that clients can open by link. You will connect the GA4, Search Console, and Google Sheets connectors, understand how a data source's fields, types, and aggregation drive every chart, and build scorecards, time-series, tables with heatmaps, bar and pie charts, and geo maps. You then add date-range controls, drop-down and input-box filters, filter controls scoped to specific charts, and report-level versus page-level filters; blend GA4 sessions with Sheets cost data on a join key to compute ROAS; write calculated fields using CASE, CONCAT, REGEXP_EXTRACT, and date functions; and finish by theming the report, setting viewer versus edit sharing, scheduling PDF email delivery, and embedding a live iframe. Each lesson works from concrete GA4 and Search Console data and flags the real traps: sampling, data freshness, blend left-join behavior, and the GA4 (other) row.
Curriculum
Module 1: Getting Started and Connecting Your Data
- What Looker Studio Is and the Report-vs-Data-Source ModelPreview
- Connecting GA4 and Reading the Default Template🔒
- Connecting Search Console and Google Sheets🔒
Module 2: Building Charts and Laying Out the Dashboard
- Scorecards and Time-Series, the Backbone of a Dashboard🔒
- Tables, Bar Charts, Pie Charts, and Geo Maps🔒
- Layout, Theme, and Reusable Components🔒
Module 3: Filters, Controls, and Interactivity
- Date-Range and Drop-Down Controls🔒
- Filters: Report, Page, and Chart Level🔒
- Interaction Controls and Drill-Down🔒
Module 4: Blending, Calculated Fields, and Sharing
- Blending Data Sources on a Join Key🔒
- Calculated Fields with CASE, REGEXP, and Date Functions🔒
- Publishing, Sharing, Scheduling, and Embedding🔒