Looker Studio

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Duration 5 days – 35 hrs

 

Overview

 

The Looker Studio Training Course equips participants with the skills to transform raw data into interactive, insightful, and business-driven dashboards using Google Looker Studio.

 

This hands-on program covers the full lifecycle of dashboard development—from data connection and modeling to advanced visualization, interactivity, and automation. Participants will also learn data storytelling, UX design principles, and business alignment, ensuring dashboards are not only technically correct but also impactful for decision-making.

 

Through real-world exercises and a capstone project, participants will gain the confidence to build dashboards for executives, operations, and analytics teams.

 

Objectives

 

  • Understand core Business Intelligence (BI) concepts and dashboard lifecycle 
  • Connect and integrate data from multiple sources (Sheets, BigQuery, GA4) 
  • Build and manage data models and calculated fields 
  • Design interactive and user-friendly dashboards 
  • Apply data storytelling techniques for business insights 
  • Implement filters, drill-downs, and parameters for dynamic reporting 
  • Automate reporting and manage dashboard sharing and governance 
  • Deliver a complete end-to-end dashboard solution 

 

Target Audience

 

    • Data Analysts and BI Analysts 
    • Business Analysts 
    • Marketing and Digital Analytics Teams 
    • Operations and Reporting Teams 
    • IT and Data Professionals 
  • Decision-makers who rely on dashboards

Prerequisites 

 

  • Basic understanding of data (Excel / Google Sheets) 
  • Familiarity with reporting concepts 
  • No prior Looker Studio experience required (but beneficial)

 

Course Outline 

Day 1 – Foundations & Connectivity

  • Introduction to Business Intelligence and Data Visualization 
  • Overview of Looker Studio interface and components 
  • Connecting to data sources: 
  • Google Sheets 
  • BigQuery 
  • Google Analytics 4 (GA4) 
  • Understanding data freshness and refresh schedules 
  • Managing credentials and access control 
  • Data source configuration and schema review 
  • Hands-on:

Connect multiple data sources and create a basic report 

 

Day 2 – Data Modeling & Blending

 

    • Creating calculated fields and metrics 
    • Using formulas and CASE statements 
    • Data transformation within Looker Studio 
    • Data blending across multiple sources 
    • Handling mismatched schemas and joins 
    • Data cleaning techniques for reporting 
  • Hands-on:

Build a unified dataset from multiple sources 

 

Day 3 – Advanced Visualization

 

  • Dashboard design principles (UX/UI, layout, hierarchy) 
  • Choosing the right charts for data 
  • Using community visualizations 
  • Advanced filtering and controls 
  • Drill-downs and optional metrics 
  • Introduction to data storytelling 
  • Hands-on:

Design a professional dashboard with interactive elements 

 

Day 4 – Interactivity & Automation

 

    • Using parameters for dynamic “What-If” analysis 
    • Advanced interactivity techniques 
    • Scheduled email delivery of reports 
    • Embedding dashboards into websites and portals 
    • Version control and collaboration 
    • Managing permissions and governance 
  • Hands-on:

Create a dynamic dashboard with user-driven inputs 

 

Day 5 – Capstone Project & Certification

 

  • End-to-end dashboard development 
  • Business case analysis and requirements gathering 
  • Dashboard presentation techniques 
  • Peer review and feedback 

 

Capstone Activity

 

  • Group-based “Business Challenge” 
  • Build a live dashboard from raw data 
  • Apply modeling, visualization, and storytelling 
  • Present insights to stakeholders 

 

Assessment

  • Practical evaluation 
  • Dashboard scoring (design, usability, insight)

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