Course Overview of Introduction to Data Analytics on Google Cloud

This instructor-led course provides an introduction to data analytics on Google Cloud. It is designed for learners who are new to data analytics and Google Cloud technologies. The course introduces the complete data analytics lifecycle, including data collection, storage, exploration, visualization, and sharing of insights. 

Participants will explore Google Cloud’s analytics ecosystem and learn how services such as BigQuery, Looker, and Looker Studio are used to derive insights and support business decision-making. Learners will also gain practical experience running SQL queries, analyzing datasets, creating dashboards, and visualizing data using Google Cloud analytics tools. 

Through guided labs, quizzes, demonstrations, and hands-on exercises, learners will develop foundational skills for working with cloud-based analytics workflows and data-driven decision-making on Google Cloud.  

After completing Introduction to Data Analytics on Google Cloud, participants will be able to:

  • Describe the data analytics workflow on Google Cloud
  • Identify Google Cloud data analytics products and their use cases
  • Understand different data sources, structures, and storage methods
  • Use BigQuery to explore and analyze datasets
  • Run basic SQL queries using the BigQuery interface
  • Create visualizations and dashboards using Looker and Looker Studio
  • Share analytics insights and reports with stakeholders
  • Compare analytics tools and choose the right visualization platform
  • Understand relational and non-relational data concepts
  • Build foundational cloud analytics and reporting workflows

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Key Features of Introduction to Data Analytics on Google Cloud

  •  Introduction to Data Analytics on Google Cloud 

     

  • Hands-On Learning Experience 

     

  • BigQuery Fundamentals 

     

  •  Looker and Looker Studio Visualization 

     

  •  Google Cloud Data Analytics Ecosystem 

     

  • Beginner-Friendly Analytics Enablement 

     

  • SQL and Data Exploration Workflows 

     

  • Reporting and Business Insights 

     

Who Should Attend, Introduction to Data Analytics on Google Cloud

  • Data analysts.
  • Business Analysts
  • BI Professionals
  • Developers working with analytics workflows
  • Cloud Practitioners
  • Beginners interested in cloud analytics and visualization
  • Professionals starting their Google Cloud analytics journey

Prerequisites of Introduction to Data Analytics on Google Cloud

  • Basic familiarity with SQL
  • Basic understanding of data concepts such as relational and non-relational data
  • Understanding of data storage concepts such as data lakes and data warehouses
  • Interest in cloud analytics and business intelligence workflows
  • Why choose CloudThat as your training partner for Introduction to Data Analytics on Google Cloud

    • Specialized GCP Analytics Focus  CloudThat specializes in cloud and analytics technologies and delivers focused Google Cloud training programs with practical implementation experience and enterprise analytics use cases. 
    • Industry-Recognized Trainers  Our trainers are certified Google Cloud professionals with expertise in BigQuery, Looker, cloud analytics, business intelligence, and data visualization. 
    • Hands-On Learning Approach  CloudThat emphasizes practical learning through guided labs, SQL workflows, dashboard creation exercises, and analytics implementation scenarios. 
    • Customized Learning Paths  Training programs are designed for analysts, business users, developers, and cloud professionals with varying levels of analytics expertise. 
    • Interactive Learning Experience  Sessions include demonstrations, collaborative analytics activities, visualization exercises, quizzes, and interactive discussions. 
    • Placement Assistance and Career Support  CloudThat supports learners with analytics learning paths, interview preparation, cloud career guidance, and practical data analytics implementation strategies. 
    • Continuous Learning and Updates  Course content is continuously updated to align with the latest advancements in Google Cloud analytics, BigQuery, Looker, and AI-powered analytics workflows. 
    •  Positive Reviews and Testimonials  Thousands of professionals and enterprises trust CloudThat for advanced cloud, analytics, business intelligence, and Google Cloud training programs. 

    Learning Objective of Introduction to Data Analytics on Google Cloud

    • This course enables learners to understand the fundamentals of data analytics on Google Cloud and build foundational skills for analyzing, visualizing, and sharing insights using BigQuery, Looker, and Looker Studio. 

    Course Outline of Introduction to Data Analytics on Google Cloud Download Course Outline

    Lecture Content

    • Data Analytics Workflow
    • Data Sources
    • Storage Methods
    • Google Cloud Data Analytics Products
    • Data Types

    Learning Objectives

    • Describe the data analytics workflow on Google Cloud
    • Compare data sources and storage methods
    • Understand different data types used in analytics workflows
    • Identify Google Cloud analytics services and their roles

    Activities

    • Quiz

    Lecture Content

    • BigQuery Services, Capabilities, and Organization
    • Data Storage
    • Basic SQL
    • Answering Data-Driven Questions
    • BigQuery Solution Architecture

    Learning Objectives

    • Understand BigQuery architecture and capabilities
    • Use BigQuery to derive insights from data
    • Run basic SQL queries using the BigQuery interface
    • Explore cloud-based analytics workflows using BigQuery

    Lab Content

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

    Activities

    • Quiz

    Lecture Content

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

    Learning Objectives

    • Manipulate Looker Explores to answer business questions
    • Create effective visualizations for analytics reporting
    • Compare Looker and Looker Studio use cases
    • Share dashboards and reports with stakeholders

    Lab Content

    • Lab 1: Looker Data Explorer – Qwik Start
    • Lab 2: Looker Studio – Qwik Start

    Activities

    • Quiz

    Lecture Content

    • Topic Review
    • Slides and Recap
    • Additional Learning Resources and Support

    Learning Objectives

    • Reinforce analytics and visualization concepts
    • Review major Google Cloud analytics workflows
    • Identify resources for continued learning and support

    Lab Content

    • Final Discussion / Wrap-up

    Certification details of Introduction to Data Analytics on Google Cloud

      CloudThat Course Completion Certificate will be awarded to all learners who complete the training.

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    Course ID: 25213

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    FAQs of Introduction to Data Analytics on Google Cloud

    This course is designed for beginners in data analytics and professionals interested in learning Google Cloud analytics tools.

    No. This course is beginner-friendly and introduces Google Cloud analytics concepts step-by-step.

    The course covers data analytics workflows, BigQuery, SQL, Looker, Looker Studio, data visualization, dashboards, and cloud analytics concepts.

    Yes. The course includes practical labs for BigQuery, SQL queries, BigLake, Looker, and Looker Studio.

    BigQuery, BigLake, Looker, Looker Studio, Cloud SQL, and Gemini Assistance.

    Yes. Learners will run basic SQL queries using BigQuery.

    Yes. The course includes creating dashboards and visualizations using Looker and Looker Studio.

    1-day instructor-led training with lectures, labs, quizzes, demos, and analytics exercises.

    Yes. A CloudThat Course Completion Certificate will be awarded after successful completion of the training.

    Yes. This is an introductory-level course designed for professionals new to data analytics and Google Cloud analytics tools.

    Enquire Now