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Google Cloud

Creating New BigQuery Datasets and Visualizing Insights

Google Cloud and Google via Coursera

Overview

This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.

Syllabus

  • Course Introduction
    • Overview of what you will learn in this course
  • Storing and Exporting Data
    • Create new permanent and temporary tables from your query results
  • Ingesting New Datasets into BigQuery
    • Load and create new datasets inside BigQuery
  • Joining and Merging Datasets
    • Understand the differences between SQL JOINs and UNIONs and when to use each
  • Data Visualization
    • Create dashboards and visualizations with Looker Studio
  • Course Summary
    • Summary of the course ley learning points

Taught by

Google Cloud Training

Reviews

4.6 rating at Coursera based on 1733 ratings

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