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Cloud Hero: BigQuery Skills

This game equips you with hands-on experience crafting queries to unlock insights from BigQuery's public datasets. Learn to export data, create Cloud SQL instances, and manage tables. Sharpen your skills by troubleshooting common SQL errors and writing effective queries to transform raw data into actionable intelligence.

✓ Official training Google CloudLevel Fundamentals⏱️ 0.5 day (3h)

What you will learn

Craft queries to unlock insights from BigQuery's public datasets.
Export data, create Cloud SQL instances, and manage tables.
Troubleshoot common SQL errors and write effective queries to transform raw data into actionable intelligence.

Prerequisites

This assumes little to no prior experience with SQL.
Familiarity with Cloud Storage and Cloud Shell is recommended, but not required.

Target audience

Someone who is brand new to Bigquery

Training Program

4 modules to master the fundamentals

Activities

GSP281 - Introduction to SQL for BigQuery and Cloud SQL (75 mins)

Activities

GSP072 - BigQuery: Qwik Start - Console (30 mins)

Activities

GSP407 - Exploring Your Ecommerce Dataset with SQL in Google BigQuery (30 mins)

Activities

GSP408 - Troubleshooting Common SQL Errors with BigQuery (50 mins)

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Upcoming sessions

No date suits you?

We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

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

Serious Game / Business Game — Game-based learning simulating professional challenges.
Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Troubleshooting / Problem Solving — Diagnosing and fixing a breakdown, bug, or malfunction.

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.

Frequently Asked Questions

Anyone who wants to sharpen practical SQL and BigQuery skills, including analysts moving from spreadsheets to a cloud data warehouse.

You will be able to write queries against BigQuery public datasets, explore an ecommerce dataset with SQL, manage tables and Cloud SQL instances, and diagnose the SQL errors that come up most often.

Cloud Hero is Google Cloud's gamified lab format: instead of following slides, you work through a series of hands-on labs on real Google Cloud projects, scored as you progress. The competitive framing is what keeps a room of practitioners engaged for a whole session.

The session runs 154 hands-on labs: an introduction to SQL for BigQuery and Cloud SQL, BigQuery in the console, exploring an ecommerce dataset with SQL, and troubleshooting common SQL errors.

This course is contracted via Google Cloud only: it cannot be purchased directly from SFEIR Institute. Contact us to learn how to order it through Google Cloud.

Yes. Cloud Hero is an official Google Cloud format, delivered here by SFEIR Institute, a certified Google Cloud Training Partner and Google Cloud Training Partner of the Year 2025.

Our training organizations SFEIR SAS and SFEIR-Est are Qualiopi certified for training activities. Because this course is contracted via Google Cloud, contact us to review the options that apply to your situation.

Registration

Contracting via Google Cloud only

This course cannot be purchased directly from SFEIR Institute: orders go through Google Cloud. Contact us to learn how to proceed.

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