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    Results for "bigquery"

    • U

      University of California, Davis

      Big Data, Artificial Intelligence, and Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Big Data, Research Methodologies, Machine Learning, Data Mining, Social Sciences, Natural Language Processing, Data Analysis, Text Mining, Computer Vision, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      562 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Analyze Sales Data with LibreOffice Base Queries

      Skills you'll gain: Customer Analysis, Sales, Data Analysis, Query Languages, Trend Analysis, Databases, Customer Insights, Performance Analysis, Product Assortment

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of California, Davis

      Data Wrangling, Analysis and AB Testing with SQL

      Skills you'll gain: Feature Engineering, A/B Testing, Data Cleansing, Data Quality, SQL, Data Validation, Data Manipulation, Data Transformation, Data Wrangling, Data Integrity, Data Analysis, Time Series Analysis and Forecasting

      3.3
      Rating, 3.3 out of 5 stars
      ·
      978 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Engineering Data Ecosystems: Pipelines, ETL, Spark

      Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Infrastructure, Data Processing, Data Warehousing, Data Management, Data Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Data Engineering: Pipelines, ETL, Hadoop

      Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data-Driven Decision-Making, Big Data, Data Warehousing, Data Infrastructure, Data Lakes, Data Architecture, Apache Spark, Data Integration, Data Processing, SQL Server Integration Services (SSIS), Data Management

      Intermediate · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Business intelligence and data analytics: Generate insights

      Skills you'll gain: SAS (Software), Data Visualization Software, Dashboard, Analytics, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Trend Analysis, Forecasting, Histogram, Statistical Methods, Business Ethics, Correlation Analysis, Predictive Modeling, Innovation, Corporate Sustainability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      443 reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      P

      Packt

      Snowflake - Build and Architect Data Pipelines Using AWS

      Skills you'll gain: Snowflake Schema, Real Time Data, Apache Kafka, Data Pipelines, Apache Airflow, Data Management, Data Governance, Apache Spark, Performance Tuning, Extract, Transform, Load, Data Security, Data Warehousing, Amazon S3, Amazon Web Services, PySpark, Scikit Learn (Machine Learning Library), SQL

      Intermediate · Course · 3 - 6 Months

    • Placeholder
      P

      Packt

      Foundations of Elasticsearch

      Skills you'll gain: Restful API, Data Mapping, Query Languages, Data Modeling, Databases, Software Installation, Data Processing, Text Mining, Data Import/Export, Data Management, NoSQL, Data Storage, Scalability, System Configuration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      J

      Johns Hopkins University

      Big Data Processing Using Hadoop

      Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, Databases, SQL, Query Languages, Data Analysis Software, Data Architecture, Data Structures, Java Programming, Distributed Computing, Performance Tuning

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      P

      Packt

      Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

      Skills you'll gain: Kibana, Data Import/Export, Interactive Data Visualization, Restful API, Data Mapping, Data Visualization Software, Dashboard, Data Integration, Query Languages, Time Series Analysis and Forecasting, Exploratory Data Analysis, Apache Kafka, Data Modeling, Histogram, Amazon Web Services, Databases, Software Installation, Scalability, System Monitoring, Cloud Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Specialization · 1 - 3 Months

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      U

      University of Colorado Boulder

      The Structured Query Language (SQL)

      Skills you'll gain: SQL, Database Systems, Database Theory, Query Languages, Database Design, Relational Databases, Data Access, Data Analysis, Data Manipulation, Data Management

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      891 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of Illinois Urbana-Champaign

      Text Retrieval and Search Engines

      Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      957 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to bigquery

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    1…6789

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

    • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
    • Analyze Sales Data with LibreOffice Base Queries: Coursera Project Network
    • Data Wrangling, Analysis and AB Testing with SQL: University of California, Davis
    • Engineering Data Ecosystems: Pipelines, ETL, Spark: Coursera Instructor Network
    • Data Engineering: Pipelines, ETL, Hadoop: Coursera Instructor Network
    • Business intelligence and data analytics: Generate insights: Macquarie University
    • Snowflake - Build and Architect Data Pipelines Using AWS: Packt
    • Foundations of Elasticsearch: Packt
    • Big Data Processing Using Hadoop: Johns Hopkins University
    • Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On: Packt

    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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