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BigQuery for Marketing Analysts

date_range 7 hours show_chart Fundamental universal_currency_alt 22 Credits

Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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  • Lab

    Exploring Your Ecommerce Dataset with SQL in Google BigQuery

    In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.

  • Lab

    Data Studio ile Raporları Keşfetme ve Rapor Oluşturma

    Bu laboratuvarda, Google Data Studio'yu Google BigQuery veri tablolarına bağlamayı, grafik oluşturmayı ve boyutlar ile ölçümler arasındaki ilişkileri keşfetmeyi öğreneceksiniz.

  • Lab

    Creating Permanent Tables and Access-Controlled Views in BigQuery

    This lab focuses on how to create new permanent reporting tables and logical reviews from an existing ecommerce dataset.

  • Lab

    Ingesting New Datasets into BigQuery

    This lab focuses on how to ingest new datasets into tables inside of BigQuery.

  • Lab

    How to Build a BI Dashboard Using Google Data Studio and BigQuery

    Learn how to build a BI dashboard with Data Studio as the front end, powered by BigQuery on the back end

  • Lab

    Data Catalog: Qwik Start

    In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

  • Lab

    Exploring Dataset Metadata Between Projects with Data Catalog

    In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

  • Lab

    Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

    In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

  • info
    Quest Info
    Prerequisites
    It is recommended but not required that students have a familiarity with data and spreadsheets.