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

Coursera
Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Interactive Data Visualization, Query Languages, Data Import/Export, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics
★ 4.3 (272) · 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, Big Data, Data Warehousing
★ 4.5 (117) · Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Gemini, Google Gemini, Retrieval-Augmented Generation, Embeddings, Generative AI, Predictive Modeling, Vector Databases, Big Data, Google Cloud Platform, Data Analysis, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), SQL, Query Languages, Python Programming, Data Preprocessing, Customer Relationship Management (CRM) Software, Customer Relationship Management, Data Processing, Machine Learning
★ 4.6 (10) · Beginner · Specialization · 1 - 4 Weeks

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

Google Cloud
Skills you'll gain: Google Cloud Platform, Data Import/Export, Query Languages, Big Data, Data Access
★ 4.6 (10) · Beginner · Project · Less Than 2 Hours

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

Starweaver
Skills you'll gain: SQL, Business Intelligence, Query Languages, Cloud Management, Python Programming
★ 4.3 (7) · Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Gemini, Gemini, Big Data, Data Analysis, Exploratory Data Analysis, Data Preprocessing, Generative AI, Prompt Engineering, Data Visualization Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Import/Export, Apache Airflow, Cloud Storage, Data Migration, Google Cloud Platform, Extract, Transform, Load, Data Pipelines, Cloud Management, Data Storage, Cloud-Based Integration, Configuration Management
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Looker (Software), Data Warehousing, Extract, Transform, Load, Big Data, SQL, Data Pipelines, Data Import/Export, Data Transformation, Data Manipulation, Data Cleansing, Dashboard Creation, Query Languages, Data Analysis, Data Wrangling, Data Migration, Google Sheets, Data Visualization Software, Data Processing, Data Store, Google Cloud Platform
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Data Integration, Google Cloud Platform, Data Processing, Data Quality, Data Validation, Apache Spark, Generative AI, Data Manipulation, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning Methods, Model Evaluation, Machine Learning, Time Series Analysis and Forecasting, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks
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.‎