GCP100LOOKERAVD

Analyzing and Visualizing Data in Looker

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. You learn to leverage Looker's modern analytics platform to find and explore relevant content in your organization's Looker instance. You also discover how to ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision-making.

Google Cloud
✓ Formation officielle Google CloudNiveau Fundamentals⏱️ 1 jour (7h)

Ce que vous allez apprendre

  • Define Looker and the capabilities it provides for working with data.
  • Use dimensions, measures, and filters to analyze and visualize data.
  • Use dashboards for multiple visualizations and boards to curate Looker content.
  • Create advanced metrics by pivoting Looker data and writing table and offset calculations.
  • Create visualizations using Looks and dashboards, and share Looker content with others.

Prérequis

  • None

Public cible

  • Business users who need to draw insights from data., Data analysts who are responsible for data analysis and visualization within their organizations.

Programme de la Formation

6 modules pour maîtriser les fondamentaux

Objectifs

  • Define the value proposition of the Looker platform.
  • Explain Looker's role in the data analysis process.
  • Describe Looker's main user interface components.
  • Interpret Looker's hierarchical folder structure for content.
  • Discuss different content locations within the Looker platform.

Sujets abordés

  • →What is Looker?
  • →Looker user interface
  • →Organizing content with folders

Activités

1 quiz

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Prochaines sessions

1 décembre 2025
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9 janvier 2026
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26 mai 2026
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29 septembre 2026
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700€ HT

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