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Introduction to Data Analytics on Google Cloud

  • Course Code GO9094
  • Duration 1 day

Course Delivery

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Course Delivery

This course is available in the following formats:

  • Public Classroom

    Traditional Classroom Learning

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Course Overview

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This course is an introduction to data analytics on Google Cloud.

It is designed for learners who have no prior experience with data analytics or Google Cloud.

The course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing.

It also introduces learners to Google Cloud’s data analytics tools and services.

Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.

Course Schedule

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Target Audience

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Data analysts
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Course Objectives

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  • Describe the data analytics workflow on Google Cloud and summarize the different types of analytics.
  • Identify Google Cloud data analytics products and describe how each is used to work with data.
  • Describe data sources, data structures, and data storage options in Google Cloud.
  • Use BigQuery, Looker, and Looker Studio to answer data questions and influence business decisions.
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Course Content

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Module 01 : Understand the Data Analytics Lifecycle on Google Cloud

Topics M01

  • Data analytics workflow
  • Data sources
  • Storage methods
  • Google Cloud data analytics products
  • Data types

Objectives M01

  • Detail and describe the data analytics workflow on Google Cloud.
  • Compare and contrast data sources and storage methods available in Google Cloud.
  • Compare how different data types can be used for data analytics.

Activities M01

  • Quiz

Module 02 : Explore Data and Extract Insights by Using BigQuery

Topics M02

  • BigQuery services, capabilities, and organization
  • Data storage
  • Basic SQL
  • Answering data-driven questions

Objectives M02

  • Describe BigQuery and the BigQuery solution architecture.
  • Derive insights from data by using BigQuery.
  • Use the BigQuery user interface to run basic queries.

Activities M02

  • Lab 1: BigQuery Qwik Start: Console
  • Lab 2: Introduction to SQL for BigQuery and Cloud SQL
  • Lab 3: BigLake: Qwik Start
  • Lab 4: Analyze data with Gemini Assistance
  • Quizz

Module 03 : Make Data-Driven Decisions by Using Looker

Topics M03

  • Looker data exploration terms and concepts
  • Looks and dashboards
  • Visualizations
  • Report sharing
  • Looker Studio

Objectives M03

  • Manipulate a Looker Explore to answer data-driven questions.
  • Create a situation-appropriate visualization to highlight the answer for a datadriven question.
  • Choose between Looker and Looker Studio for data visualization and sharing.
  • Share visualizations with others.

Activities M03

  • Lab 1: Looker Data Explorer—Qwik Start
  • Lab 2: Looker Data Studio—Qwik Star
  • Quiz
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Course Prerequisites

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  • Basic familiarity with SQL
  • Basic understanding of data concepts such as data types (relational, non-relational) and storage (data lakes, data warehouses)
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