BigQuery for Marketing Analysts
Fundamental 8 Steps 7 hours 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.
Prerequisites:It is recommended but not required that students have a familiarity with data and spreadsheets.
In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.
In this lab, you learn how to connect Google Data Studio to Google BigQuery data tables, create charts, and explore the relationships between dimensions and measures.
This lab focuses on how to create new permanent reporting tables and logical reviews from an existing ecommerce dataset.
This lab focuses on how to ingest new datasets into tables inside of BigQuery.
Learn how to build a BI dashboard with Data Studio as the front end, powered by BigQuery on the back end
In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.