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    • Bigquery

    BigQuery Courses Online

    Learn Google BigQuery for scalable data analysis. Understand how to manage and analyze large datasets using SQL in the cloud.

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    Explore the BigQuery Course Catalog

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Français

      Skills you'll gain: SQL, Generative AI, Applied Machine Learning, Google Cloud Platform, Big Data, Customer Relationship Management, Jupyter, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Deutsch

      Skills you'll gain: Generative AI, Google Cloud Platform, Applied Machine Learning, SQL, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Query Languages, Customer Relationship Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Cómo utilizar BigQuery ML para ejecutar inferencias

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Analyze Customer Reviews with Gemini Using SQL

      Skills you'll gain: Text Mining, Google Cloud Platform, Data Management, Image Analysis, Big Data, Unstructured Data, Large Language Modeling, Statistical Reporting

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Português Brasileiro

      Skills you'll gain: Generative AI, Google Cloud Platform, Customer Relationship Management, Predictive Modeling, SQL, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Launching into Machine Learning en Español

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Google Cloud Platform, Data Analysis, Big Data, Sampling (Statistics), Regression Analysis, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      131 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Streaming HL7 to FHIR Data with Healthcare API

      Skills you'll gain: Google Cloud Platform, Cloud API, Health Informatics, Data Import/Export, Data Mapping, Health Care, Health Information Management, Data Store

      3.6
      Rating, 3.6 out of 5 stars
      ·
      12 reviews

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Building Batch Data Pipelines on GCP 日本語版

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Transformation, Big Data, Apache Spark, Apache Hadoop, Cloud Storage

      4.4
      Rating, 4.4 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Understanding Your Google Cloud Costs

      Skills you'll gain: Google Cloud Platform, Billing, Looker (Software), Billing Systems, Expense Management, Cloud Management, Accounting and Finance Software, Dashboard, Cost Management, User Accounts, Operating Cost, Google Sheets, Account Management, Resource Management, Identity and Access Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      78 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Launching into Machine Learning 日本語版

      Skills you'll gain: Data Quality, Data Cleansing, Machine Learning, Applied Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Supervised Learning, Data Validation, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Regression Analysis, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Visualizing Data with Google Data Studio

      Skills you'll gain: Data Visualization Software, Dashboard, Interactive Data Visualization, SQL Server Reporting Services, Big Data

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      G

      Google Cloud

      BigQuery ML を推論に使用する

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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

    • Work with Gemini Models in BigQuery - Français: Google Cloud
    • Work with Gemini Models in BigQuery - Deutsch: Google Cloud
    • Cómo utilizar BigQuery ML para ejecutar inferencias: Google Cloud
    • Analyze Customer Reviews with Gemini Using SQL: Google Cloud
    • Work with Gemini Models in BigQuery - Português Brasileiro: Google Cloud
    • Launching into Machine Learning en Español: Google Cloud
    • Streaming HL7 to FHIR Data with Healthcare API: Google Cloud
    • Building Batch Data Pipelines on GCP 日本語版: Google Cloud
    • Understanding Your Google Cloud Costs: Google Cloud
    • Launching into Machine Learning 日本語版: Google Cloud

    Frequently Asked Questions about Bigquery

    BigQuery is a serverless data warehouse that uses the Google Cloud platform. Data warehouses are critical components of data infrastructure required to collect and store data from a variety of sources for use within an organization, but building and maintaining warehouses at the scale necessary for today’s massive datasets can be expensive and time-consuming. By using cloud computing to enable rapidly-scalable analysis over petabytes of data, BigQuery is an important software as a service (SaaS) solution for companies looking to harness the power of big data flexibly and cost-effectively.

    Like other relational database management systems (RDBMS), BigQuery uses the Structured Query Language or SQL to enable users to quickly store, retrieve, manage, and manipulate data. The Google Cloud platform also provides access to a variety of tools from Google and its partners, including Cloud Dataprep to automate the creation of data cleansing pipelines as well as built-in machine learning capabilities to generate insights from large-scale datasets. There are also a wide range of third-party tools that can be used with BigQuery for data visualization and other tasks.‎

    A background in the use of BigQuery is an increasingly common requirement for a career as a data engineer. These specialized professionals in the creation and maintenance of data infrastructure are critical to the work of data science, which requires the delivery of massive datasets in a form that can be readily analyzed and utilized. And, like other cloud computing solutions, BigQuery is becoming popular with a growing number of tech companies due to its flexibility and cost-effectiveness compared to on premises data warehousing.

    Given the fast-growing interest in using big data across virtually every industry, it’s no surprise that data engineer jobs are in high demand - and highly paid. According to Glassdoor, data engineers in the U.S. earn an average base pay of $102,864 per year.‎

    Yes! In fact, Coursera lets you learn about BigQuery directly from Google itself. Google Cloud offers a variety of learning opportunities through the Coursera Platform, including individual courses in BigQuery specifically as well as Specializations that span multiple courses and topics including BigQuery skills. If you want to get a valuable career credential, you can even complete coursework for a Google Cloud Professional Data Engineer certification.

    Regardless of your needs, the ability to study and complete course materials on your own schedule means that learning on Coursera is just as flexible - and powerful - as cloud computing-based SaaS solutions like BigQuery.‎

    Before learning BigQuery, it's very advantageous to have experience writing queries using SQL. You should also have experience using databases. You may also want to be familiar with the Google Cloud Platform and have experience with cloud computing.‎

    Topics related to BigQuery that you can study include Google Sheets, Google Data Studio, data analytics, and the cloud. You might also be interested in learning about other big data tools, such as Redshift, DigitalOcean, S3, Apache Spark, Hadoop, and Hydra. Other technologies may also be of interest to you, such as TypeScript, auto-scaling clusters, Python, machine learning, and continuous deployment.‎

    Places that hire people with a background in BigQuery include companies that are using BigQuery to manage and analyze their data. According to Google, this includes UPS, Twitter, Major League Baseball (MLB), The Home Depot, Dow Jones, Toyota, American Cancer Society, Target, 20th Century Fox, and many more. Companies in retail, financial services, media and entertainment, health care and life sciences, and government are just a few industries that hire people with a background in BigQuery across the world.‎

    If you're a company, data scientist, data analyst, or individual looking for a platform that can analyze petabytes of data in the convenience of the cloud, learning BigQuery is a good fit for you. If your current data analytics processes run slower than you want or aren't giving you the data insights you need, learning BigQuery is worthwhile. BigQuery can help you manage and analyze marketing and sales data very quickly, for example. If that fits your needs, learning BigQuery may be right for you.‎

    Online BigQuery courses offer a convenient and flexible way to enhance your existing knowledge or learn new BigQuery skills. With a wide range of BigQuery classes, you can conveniently learn at your own pace to advance your BigQuery career skills.‎

    When looking to enhance your workforce's skills in BigQuery, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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