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BigQuery Courses

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.


Popular BigQuery Courses and Certifications


  • G

    Google Cloud

    BigQuery for Data Analysts

    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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    72 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Working with BigQuery

    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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    244 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Introduction to SQL for BigQuery and Cloud SQL

    Skills you'll gain: SQL, Google Cloud Platform, Database Development, Database Management, Data Import/Export, Query Languages, Data Warehousing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    112 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Gemini in BigQuery

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Business Intelligence

    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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.5K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • G

    Google Cloud

    ETL Processing on Google Cloud Using Dataflow and BigQuery

    Skills you'll gain: Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Scripting, Google Cloud Platform, Big Data, Scripting Languages, Data Migration, Cloud Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    BigQuery para analistas de datos

    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

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Create Embeddings, Vector Search, and RAG with BigQuery

    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

  • Status: Preview
    Preview
    S

    Starweaver

    Build a Data Warehouse Using BigQuery

    Skills you'll gain: SQL, Business Intelligence, Jupyter, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Work with Gemini Models in BigQuery

    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

  • G

    Google Cloud

    Using BigQuery in the Google Cloud Console

    Skills you'll gain: Google Cloud Platform, Data Import/Export, Query Languages, Big Data, Data Access, Data Analysis Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular bigquery courses

  • BigQuery for Data Analysts: Google Cloud
  • Working with BigQuery: Coursera
  • Introduction to SQL for BigQuery and Cloud SQL: Google Cloud
  • Gemini in BigQuery: Google Cloud
  • Google Business Intelligence: Google
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
  • BigQuery para analistas de datos: Google Cloud
  • Create Embeddings, Vector Search, and RAG with BigQuery: Google Cloud
  • Build a Data Warehouse Using BigQuery: Starweaver

Frequently Asked Questions about Bigquery

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:

  1. Preview the first module of many BigQuery courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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