BigQuery courses can help you learn SQL querying, data analysis techniques, and how to manage large datasets effectively. You can build skills in data visualization, optimizing queries for performance, and integrating with machine learning models. Many courses introduce tools like Google Cloud Platform and data visualization software, demonstrating how to leverage these technologies for real-time analytics and reporting.

Google Cloud
Skills you'll gain: Looker (Software), Big Data, SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Data Analysis, Data Visualization Software, Google Sheets, Google Cloud Platform, Data Import/Export, Data Integrity
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Query Languages, Data Import/Export, Data Presentation, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: SQL, Google Cloud Platform, Database Development, Database Management, Data Import/Export, Query Languages, Data Warehousing
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Gemini, Retrieval-Augmented Generation, Gemini, Embeddings, Generative AI, Predictive Modeling, Vector Databases, Big Data, Data Analysis, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Prompt Engineering, SQL, Large Language Modeling, Python Programming, Data Preprocessing, Customer Relationship Management, Google Cloud Platform, Machine Learning
Beginner · Specialization · 1 - 4 Weeks

Skills you'll gain: Data Modeling, Database Design, Stakeholder Engagement, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Stakeholder Communications, Data Pipelines, Business Reporting, Data Mart, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, AI Enablement, Business Analysis, Data Analysis, SQL
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Cloud Services, Cloud Deployment, Apache Hadoop, Apache Hive, Application Programming Interface (API), Jupyter, Data Storage, Data Architecture, Data Quality, Advanced Analytics, Ad Hoc Analysis, Serverless Computing, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Scripting, Google Cloud Platform, Big Data, Scripting Languages, Data Migration, Cloud Storage
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Looker (Software), Data Cleansing, Big Data, Data Transformation, SQL, Google Sheets, Data Migration, Data Analysis, Data Import/Export, Data Pipelines, Data Visualization Software, Google Cloud Platform, Data Store
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Google Gemini, Vector Databases, Generative AI, Prompt Engineering, Large Language Modeling, Google Cloud Platform
Advanced · Course · 1 - 4 Weeks

Starweaver
Skills you'll gain: SQL, Business Intelligence, Jupyter, Python Programming
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Gemini, Generative AI, Predictive Modeling, Big Data, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Customer Relationship Management
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Data Import/Export, Query Languages, Big Data, Data Access, Data Analysis Software
Beginner · Project · Less Than 2 Hours
BigQuery is a fully-managed, serverless data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure. It is important because it allows organizations to analyze large datasets quickly and efficiently, making it a vital tool for data-driven decision-making. With its ability to handle massive amounts of data and integrate seamlessly with other Google Cloud services, BigQuery empowers businesses to gain insights and drive innovation.‎
Jobs related to BigQuery are diverse and growing, reflecting the increasing demand for data professionals. Positions you might consider include Data Analyst, Data Engineer, Business Intelligence Developer, and Cloud Data Architect. These roles often involve using BigQuery to analyze data, build data pipelines, and create reports that inform business strategies. As organizations continue to prioritize data analytics, expertise in BigQuery can open doors to various career opportunities.‎
To effectively learn BigQuery, you should focus on developing skills in SQL, data analysis, and cloud computing. Familiarity with Google Cloud Platform (GCP) is also beneficial, as BigQuery is part of this ecosystem. Additionally, understanding data warehousing concepts and data visualization tools can enhance your ability to work with BigQuery. These skills will equip you to leverage BigQuery's capabilities in real-world scenarios.‎
Some of the best online courses for learning BigQuery include the BigQuery for Data Analysts course, which focuses on practical data analysis techniques, and the Build a Data Warehouse Using BigQuery course, which covers data warehousing fundamentals. For those with specific backgrounds, there are also specialized courses like BigQuery Fundamentals for Oracle Professionals that tailor the learning experience to your previous knowledge.‎
Yes. You can start learning BigQuery on Coursera for free in two ways:
If you want to keep learning, earn a certificate in BigQuery, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn BigQuery, start by exploring introductory courses that cover the basics of SQL and data analysis. Engage with hands-on projects to practice your skills in real-world scenarios. Utilize Google Cloud's documentation and resources to deepen your understanding. Joining online communities or forums can also provide support and insights as you progress in your learning journey.‎
Typical topics covered in BigQuery courses include SQL query writing, data modeling, data ingestion, and performance optimization. Courses often explore how to integrate BigQuery with other Google Cloud services, as well as best practices for data analysis and visualization. Additionally, you may learn about data security and compliance, which are crucial for handling sensitive information.‎
For training and upskilling employees, courses like the Gemini in BigQuery Specialization can be particularly beneficial. This specialization focuses on enhancing productivity with BigQuery, making it suitable for teams looking to improve their data analysis capabilities. Additionally, the Boost Productivity with Gemini in BigQuery course offers practical strategies for leveraging BigQuery in a business context.‎