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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


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  • G

    Google Cloud

    BigQuery for Data Analysts

    Skills you'll gain: Looker (Software), SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Dashboard Creation, Data Analysis, Data Integration, Data Visualization Software, Google Sheets, Query Languages, Google Cloud Platform, Data Import/Export, Data Integrity

    4.3 stars, 85 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.3 (85) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • 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, Big Data, Data Warehousing

    4.5 stars, 121 reviews, Beginner, Project, Less Than 2 Hours

    ★ 4.5 (121) · Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Working with BigQuery

    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 stars, 277 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.3 (277) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods

    4.6 stars, 4.4K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (4.4K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • G

    Google

    Google Business Intelligence

    Skills you'll gain: Data Modeling, Stakeholder Engagement, Dashboard, Business Intelligence, Tableau Software, Extract, Transform, Load, Data Warehousing, Database Systems, Interactive Data Visualization, Data Visualization, Data Pipelines, Interviewing Skills, Business Process, Business Analysis, Database Design, Data Mart, Applicant Tracking Systems, Data Analysis, SQL, Stakeholder Communications

    4.8 stars, 9.5K reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.8 (9.5K) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Trending right now
    Trending right now
    Status: Free trial
    Free trial

What brings you to Coursera today?

  • G

    Google Cloud

    Gemini in BigQuery

    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), AI Enablement, SQL, LLM Application, Query Languages, Data Wrangling, AI Integrations, Python Programming, Machine Learning

    4.4 stars, 12 reviews, Beginner, Specialization, 1 - 4 Weeks

    ★ 4.4 (12) · Beginner · Specialization · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Dashboard Creation, Real Time Data, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Lakes, Dataflow, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Tensorflow, Data Store, Data Warehousing

    4.6 stars, 5K reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.6 (5K) · Intermediate · Professional Certificate · 3 - 6 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, LLM Application, AI Integrations, AI Workflows, Google Cloud Platform

    4.4 stars, 7 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.4 (7) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • 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, Cloud Storage

    4.5 stars, 15 reviews, Intermediate, Project, Less Than 2 Hours

    ★ 4.5 (15) · Intermediate · Project · Less Than 2 Hours

    Status: Free trial
    Free trial
  • G

    Google Cloud

    BigQuery Soccer Data Analysis

    Skills you'll gain: Database Software, Databases, Database Management, SQL, Query Languages, Data Analysis, Data Science, Statistical Analysis

    3.1 stars, 9 reviews, Beginner, Project, Less Than 2 Hours

    ★ 3.1 (9) · Beginner · Project · Less Than 2 Hours

  • 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

    4.6 stars, 10 reviews, Beginner, Project, Less Than 2 Hours

    ★ 4.6 (10) · Beginner · Project · Less Than 2 Hours

  • P

    Pearson

    Google BigQuery for Data and ML Engineers

    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 Import/Export, Data Manipulation, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning Methods, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…19

Best Bigquery courses from Google Cloud

Top-rated Bigquery courses offered by Google Cloud on Coursera.

  1. 1
    BigQuery for Data Analysts
    Google CloudIntermediate1 - 3 Months4.3(85)Google Cloud
  2. 2
    Introduction to SQL for BigQuery and Cloud SQL
    Google CloudBeginnerLess Than 2 Hours4.5(121)Google Cloud
  3. 3
    Data Engineering, Big Data, and Machine Learning on GCP
    Google CloudIntermediate3 - 6 Months4.6(4,415)Google Cloud

Best Bigquery certificate programs

Earn a certificate in Bigquery from top universities and companies.

  1. 1
    Google Business Intelligence
    GoogleAdvanced3 - 6 Months4.8(9,482)Professional Certificate
  2. 2
    Gemini in BigQuery
    Google CloudBeginner1 - 4 Weeks4.4(12)Specialization
  3. 3
    Preparing for Google Cloud Certification: Cloud Data Engr
    Google CloudIntermediate3 - 6 Months4.6(4,950)Professional Certificate

Best Bigquery courses for beginners

Top-rated beginner-friendly Bigquery courses with no prerequisites.

  1. 1
    Working with BigQuery
    CourseraBeginnerLess Than 2 Hours4.3(277)No prerequisites
  2. 2
    BigQuery Soccer Data Analysis
    Google CloudBeginnerLess Than 2 Hours3.1(9)No prerequisites
  3. 3
    Using BigQuery in the Google Cloud Console
    Google CloudBeginnerLess Than 2 Hours4.6(10)No prerequisites

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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