This instructor-led course is designed for data analysts who want to leverage BigQuery for data analysis and decision-making. Participants will explore how to ingest, query, clean, and transform large datasets using SQL, and visualize insights using tools like Looker Studio and Connected Sheets. 

Through hands-on labs and real-world use cases, learners will gain practical experience in building scalable analytics workflows and using modern tools like Dataform and BigQuery Studio for enhanced productivity.  

After completing BigQuery for Data Analysts, students will be able to:

  • Understand the role of BigQuery in modern data analytics.
  • Query and analyze large datasets using SQL.
  • Clean and transform data for analysis.
  • Ingest and manage datasets in BigQuery.
  • Use joins, functions, and advanced SQL techniques.
  • Visualize data using Connected Sheets and Looker Studio.
  • Build scalable data transformation pipelines using Dataform.
  • Leverage BigQuery Studio and AI-assisted features.

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Key Features of BigQuery for Data Analysts

  • 9 Learning Modules covering end-to-end data analytics.

  • 10 Hands-On Labs with real datasets. 

  • SQL-based data analysis and transformation. 

  • Data Visualization using Looker Studio and Connected Sheets. 

  • Pipeline development using Dataform. 

  • AI-assisted analytics using BigQuery Studio (Duet AI / Gemini). 

Who should Attend BigQuery for Data Analysts Course?

  • Data Analysts
  • Business Intelligence Professionals
  • Data Engineers
  • SQL Developers
  • Reporting and Analytics Professionals
  • Cloud Data Practitioners
  • Professionals working with enterprise analytics workflows

Prerequisites of BigQuery for Data Analysts

  • Basic understanding of data analytics concepts
  • Familiarity with SQL
  • Introductory knowledge of Google Cloud (recommended)

    • Learning Objective of BigQuery for Data Analysts

    • To enable learners to analyze, transform, and visualize large datasets using BigQuery and build scalable data analytics workflows on Google Cloud. 

    Why choose CloudThat as your training partner?

    • Specialized Google Cloud and Data Analytics Expertise - CloudThat specializes in cloud, data, and analytics technologies, delivering industry-focused Google Cloud training programs with practical implementation experience.
    • Industry-Recognized Trainers- Our trainers are certified Google Cloud professionals with expertise in BigQuery, data analytics, business intelligence, and cloud data engineering. 
    • Hands-On Learning Approach- CloudThat emphasizes practical learning through labs, exercises, real-world datasets, and analytics implementation scenarios. 
    • Customized Learning Paths- Training paths are designed for data analysts, business intelligence professionals, and cloud data practitioners with varying levels of expertise. 
    • Interactive and Practical Sessions- Training includes live demonstrations, guided SQL exercises, visualization walkthroughs, and interactive discussions.
    • Career and Certification Support- CloudThat supports learners with practical projects, interview preparation, and cloud analytics learning paths. 
    • Updated Industry-Relevant Content- Course materials are continuously updated to align with the latest BigQuery, Looker Studio, Dataform, and AI-assisted analytics advancements.
    • Trusted by Enterprises Worldwide- Thousands of professionals and enterprises trust CloudThat for advanced cloud, analytics, and data engineering training programs. 

    Course Outline for BigQuery for Data Analysts Download Course Outline

    Lecture Content

    • Course Overview
    • Agenda and Objectives

    Lecture Content

    • Data Analytics on Google Cloud
    • BigQuery Overview and Features
    • From Data to Insights
    • Real-world Use Cases

    Lecture Content

    • Data Exploration Techniques
    • SQL Query Basics
    • Functions, Joins, and Unions
    • Query Optimization

    Lab Content

    • Exploring Dataset using SQL
    • Troubleshooting SQL Errors
    • Handling Join Pitfalls

    Lecture Content

    • Dataset Integrity Principles
    • Data Cleaning using SQL
    • Transformation Techniques
    • Alternative Transformation Methods

    Lab Content

    • Data Cleaning and Transformation

    Lecture Content

    • Data Ingestion Methods
    • Permanent vs Temporary Tables
    • External Data Sources

    Lab Content

    • Creating Tables
    • Ingesting and Querying Data

    Lecture Content

    • Data Visualization Principles
    • Connected Sheets
    • Looker Studio
    • Visualization Pitfalls
    • Notebook-based Analysis

    Lab Content

    • Connected Sheets
    • Looker Studio Reports

    Lecture Content

    • Introduction to Dataform
    • SQL Workflow Development
    • Pipeline Automation

    Lab Content

    • Creating SQL Workflow in Dataform

    Lecture Content

    • BigQuery Studio Overview
    • Unified Analytics Interface
    • AI-assisted SQL (Duet AI / Gemini)
    • Integration with Dataplex and Dataform

    Lab Content

    • Analyze Data with AI Assistance
    • Generate Content using BigQuery + Gemini

    Lecture Content

    • Key Takeaways
    • Best Practices
    • Real-world Implementation Guidance

    Lab Content

    • Final Discussion / Wrap-up

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    Course ID: 28337

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    FAQ’s about BigQuery for Data Analysts

    Data analysts looking to work with BigQuery for analytics.

    SQL, data transformation, ingestion, visualization, and pipelines.

    Yes, basic SQL knowledge is recommended.

    2 days (ILT) or ~10.5 hours (on-demand).

    Yes, multiple labs with real datasets.

    Yes, using Looker Studio and Connected Sheets.

    Yes, including BigQuery Studio and Gemini-based assistance.

    Enquire Now