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Introduction to Data Analytics on Google Cloud

Learn the basics of data analysis, including collection, storage, exploration, visualization, and sharing with Google Cloud's data analytics tools and services !

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..

Updated June 2026

GK# 899032 Vendor# GCP-IDAGC
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Who Should Attend?

This course is intended for participants with no prior knowledge on Data Analysis and Google Cloud and targeting a data analyst role.

What You'll Learn

Upon successful completion of this training, participants should be able to:

  • 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.

Course Outline

Understand the Data Analytics Lifecycle on Google Cloud

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

Explore Data and Extract Insights by Using BigQuery

  • BigQuery services, capabilities, and organization
  • Data storage
  • Basic SQL
  • Answering data-driven questions
  • Describe BigQuery and the BigQuery solution architecture.
  • Derive insights from data by using BigQuery.
  • Use the BigQuery user interface to run basic queries.
    • 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

Make Data-Driven Decisions by Using Looker

  • Looker data exploration terms and concepts
  • Looks and dashboards
  • Visualizations
  • Report sharing
  • Looker Studio
  • 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.
    • Lab 1: Looker Data Explorer—Qwik Start
    • Lab 2: Looker Data Studio—Qwik Star
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Labs Outline
  • Labs are provided by ExitCertified-Ascendient for this course.
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Prerequisites
  • Basic familiarity with SQL
  • Basic understanding of data concepts such as data types (relational, non-relational) and storage (data lakes, data warehouses)

Follow-On Courses

Continue your data analyst journey by discovering Big Query, the Google datawarehouse.