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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

    • Status: New
      New
      Status: Free
      Free

      Google Cloud

      Protecting Sensitive Data in Gen AI Model Responses

      Skills you'll gain: Data Loss Prevention, Generative AI, Personally Identifiable Information, Cloud API, Jupyter, Google Cloud Platform, Cloud Security, Information Privacy, Data Security, Data Processing, Scripting Languages

      Intermediate · Project · Less Than 2 Hours

    • Google Cloud

      Launching into Machine Learning em Português Brasileiro

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Build an End-to-End Data Capture Pipeline using Document AI

      Skills you'll gain: Data Processing, Google Cloud Platform, Data Store, Data Pipelines, Data Capture, Unstructured Data, Cloud API, Geographic Information Systems, Cloud-Based Integration, Document Management, Serverless Computing

      Beginner · Project · Less Than 2 Hours

    • Google Cloud

      Launching into Machine Learning en Français

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Creating a Data Warehouse Through Joins and Unions

      Skills you'll gain: Data Warehousing, Data Integration, Data Synthesis, Data Compilation, SQL, Relational Databases, Data Analysis, Exploratory Data Analysis

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • Google Cloud

      From Data to Insights with Google Cloud 日本語版

      Skills you'll gain: Data Access, Google Cloud Platform, SQL, Data Visualization, Machine Learning, Big Data, Data Cleansing, Data Transformation, Applied Machine Learning, Dashboard, Data Management, Cloud Infrastructure, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Database Architecture and Administration, Data Analysis, Data Processing, Predictive Modeling, Data Integration, Test Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Beginner · Specialization · 3 - 6 Months

    • Google Cloud

      Setting Up Cost Control with Quota

      Skills you'll gain: Query Languages, Data Access, Database Management, Performance Tuning, Cloud API

      Intermediate · Project · Less Than 2 Hours

    • Google Cloud

      Building Resilient Streaming Systems on GCP em Português Brasileiro

      Skills you'll gain: Real Time Data, Dataflow, Data Pipelines, Dashboard, Google Cloud Platform, Capacity Management, Data Processing, Scalability, Cloud Computing Architecture

      4.1
      Rating, 4.1 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Reconciling Account Data with Cloud Spanner Change Streams

      Skills you'll gain: Reconciliation, Dataflow, Google Cloud Platform, Big Data, Financial Data, Data Integration, Event Monitoring, Database Development

      Intermediate · Project · Less Than 2 Hours

    • Google Cloud

      Bracketology with Google Machine Learning

      Skills you'll gain: Applied Machine Learning, Data Processing, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Unstructured Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, SQL, Deep Learning, Jupyter, Predictive Modeling, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      VPC Flow Logs - Analyzing Network Traffic

      Skills you'll gain: Apache, Network Monitoring, Data Import/Export, Web Servers, Servers, Network Analysis, Google Cloud Platform

      Intermediate · Project · Less Than 2 Hours

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

    • Protecting Sensitive Data in Gen AI Model Responses: Google Cloud
    • Launching into Machine Learning em Português Brasileiro: Google Cloud
    • Build an End-to-End Data Capture Pipeline using Document AI: Google Cloud
    • Launching into Machine Learning en Français: Google Cloud
    • Creating a Data Warehouse Through Joins and Unions: Google Cloud
    • From Data to Insights with Google Cloud 日本語版: Google Cloud
    • Setting Up Cost Control with Quota: Google Cloud
    • Building Resilient Streaming Systems on GCP em Português Brasileiro: Google Cloud
    • Reconciling Account Data with Cloud Spanner Change Streams: Google Cloud
    • Bracketology with Google Machine Learning: 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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