Google BigQuery for Data Analysts Training in United States of America

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 2 Days
  • Level: Intermediate
  • Price: From €2,600+VAT
  • Upcoming Date:
  • UK & Türkiye 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.

We can organize this training at your preferred date and location. Contact Us!

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.

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 Bilginç IT Academy

At Bilginç IT Academy, we combine our strong presence in both the UK and Türkiye to deliver high-quality, practical training solutions for organizations worldwide.

International Presence with Local Expertise
With operations in the United Kingdom and Türkiye, we bring together global standards and local market understanding to deliver effective training experiences across regions.

Expert Instructors with Real-World Experience
Our courses are delivered by certified trainers with extensive industry experience, ensuring you gain practical knowledge that can be applied immediately.

Corporate-Focused Training Approach
We specialize in training corporate teams, tailoring our programs to meet your organization’s goals, technologies, and project requirements.

Flexible Training Delivery Worldwide
We offer classroom, virtual classroom, and onsite training options globally, tailored to your organization’s needs.

Hands-On, Practical Learning
Our training sessions include real-world scenarios, case studies, and interactive exercises to ensure lasting understanding and skill development.

Proven Track Record
With over 10 years of experience, we have successfully trained professionals from leading organizations across different industries and regions.


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

Avaible Training Dates

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 May 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
€2,600 +VAT
23 June 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
€2,600 +VAT
02 July 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
€2,600 +VAT
06 July 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
€2,600 +VAT
03 August 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
€2,600 +VAT
15 August 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
€2,600 +VAT
21 August 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
€2,600 +VAT
01 September 2026 (2 Days)
New York, San Francisco, Austin, Seattle, Chicago
€2,600 +VAT

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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