Google BigQuery for Data Analysts Training in United States of America

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 2 Days
  • Level: Intermediate
  • Price: From USD 3,050 +TAX
  • Upcoming Date:
  • UK Based Global Training Provider

This 2-day course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of labs and demos, this course covers various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision-making.



Prerequisites

Participants should have:

  • Experience or prior learning in Data Analytics within Google Cloud

Target Audience

This course is designed for Data analysts who want to learn how to use BigQuery for their data analysis needs. This could include those in-training or currently fulfilling data analyst roles with a working knowledge of Google Cloud but have little prior experience with BigQuery before.


What You Will Learn

By the end of this course, learners will be able to:

  • Learn the purpose and value of BigQuery, Google Cloud’s enterprise data warehouse, and discuss its data analytics features.
  • Analyse large datasets in BigQuery with SQL.
  • Clean and transform your data in BigQuery with SQL.
  • Ingest new BigQuery datasets and discuss options for external data sources.
  • Review visualization principles, and use Connected Sheets and Looker Studio to visualize data insights from BigQuery.
  • Use Dataform to develop scalable data transformation pipelines in BigQuery.
  • Use new integrations and assistive capabilities introduced with BigQuery Studio.

Training Outline

Module 0: Course Introduction

  • This module introduces the course agenda

Module 1: BigQuery for Data Analysts

  • Overview
  • Data analytics on Google Cloud
  • From data to insights with BigQuery
  • Real-world use cases of companies transformed through analytics on Google Cloud

Module 2: Exploring and preparing your data with BigQuery

  • Overview
  • Common data exploration techniques
  • Analysis of large datasets with BigQuery
  • Query basics
  • Working with functions
  • Enriching your queries with UNIONs and JOINs

Module 3: Cleaning and transforming your data

  • Overview
  • Five principles of dataset integrity
  • Clean and transform data using SQL
  • Clean and transform data: Other options

Module 4: Ingesting and storing BigQuery datasets

  • Overview
  • Permanent versus temporary data tables
  • Ingesting new datasets
  • External data sources

Module 5: Visualising your insights from BigQuery

  • Overview
  • Data visualization principles
  • Connected Sheets
  • Common data visualization pitfalls
  • Looker Studio
  • Analysis in a notebook

Module 6: Developing scalable data transformation pipelines in BigQuery with

Dataform

  • Overview
  • What is Dataform?
  • Getting started with Dataform

Module 7: BigQuery Studio

  • BigQuery Studio: What and why?
  • Unified analytics
  • Asset management
  • Embedded assistance

Module 8: Summary

  • Summary

Exams and Assessments

There are no formal examinations within this course. There will be a module review and summary following the practical hands-on lab, quiz and slide-deck deliveries. This will further enforce learning and support additional resource finds, for continued learning and development.

Hands-on Learning

Within this course there are opportunities for learners to engage in hands-on labs to support module learning. In addition, each module will also have a quiz, to support knowledge capture.

Why Choose Us

Experience Google BigQuery for Data Analysts in United States of America through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from United States of America or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Google BigQuery for Data Analysts through face-to-face Classroom Based training in United States of America. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Google BigQuery for Data Analysts in United States of America as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in United States of America or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.


Contact us for more detail about our trainings and for all other enquiries!

Google BigQuery for Data Analysts Training Course in United States of America Schedule

Join our public courses in our United States of America facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
04 October 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 3,050 +TAX
12 October 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 3,050 +TAX
15 October 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 3,050 +TAX
17 October 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 3,050 +TAX
18 October 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 3,050 +TAX
21 October 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 3,050 +TAX
23 October 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 3,050 +TAX
24 October 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 3,050 +TAX

The United States continues to define the global frontier of technology and innovation, serving as the home to the world's most influential tech titans. From the legendary Silicon Valley and San Francisco Bay Area to emerging hubs like Austin, Seattle, and the Silicon Alley in New York, the US ecosystem remains unparalleled. Top-tier institutions such as MIT, Stanford, and Carnegie Mellon provide the research backbone for breakthroughs in Artificial Intelligence, Quantum Computing, and Cybersecurity. Our training programs are meticulously aligned with these industry-leading standards, ensuring that professionals can navigate the complexities of the modern digital landscape. We bridge the gap between academic theory and high-stakes corporate execution in the most competitive tech market on Earth.

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