Course Overview:

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.

After completing this course, participants will 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.

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Key Features:-

  • Practical, Hands-On Learning

    • Emphasis on real-world data analytics tasks using Google Cloud tools.
    • Includes “Try it” activities and interactive labs with BigQuery, Looker, and Looker Studio.
    •  Learners apply skills through 6 guided labs to reinforce concepts.

  • End-to-End Analytics Lifecycle Coverage

    • Understand the full data analytics workflow—from data collection to visualization.
    • Learn about data types, sources, structures, and storage methods in Google Cloud.
    • Gain practical insights into processing and analyzing data for business use cases.

  • Tool-Centric Approach

    • Hands-on experience with BigQuery, Looker, Looker Studio, and BigLake.
    • Learn how each tool fits into the analytics pipeline and supports decision-making.
    •  Practice building dashboards, running SQL queries, and creating reports.

  • Beginner-Friendly Curriculum

    • Designed for individuals with little or no background in analytics or cloud platforms.
    • No prior experience with Google Cloud required.
    • Suitable for data analysts, business users, and newcomers to cloud data tools.

  • Instructor-Led, One-Day Format

    • Delivered in a focused, live session format.
    • Structured instruction ensures foundational learning in a single day.
    •  Ideal for fast-tracking cloud data skills.

  • Instructor-Led, One-Day Format

    • Delivered in a focused, live session format.
    • Structured instruction ensures foundational learning in a single day.
    • Ideal for fast-tracking cloud data skills.

  • Introduction to SQL for Data Analysis

    • Learn how to write basic SQL queries in BigQuery.
    • Practice querying structured data and extracting insights.
    • Build familiarity with cloud-based SQL tools and interfaces.

  • Business-Focused Visualizations

    • Use Looker and Looker Studio to create interactive dashboards and visualizations.
    • Learn how to communicate insights clearly and effectively.
    • Explore real-world scenarios for data-driven decision making.

  • Google Cloud Ecosystem Orientation

    • Overview of key data analytics products and their interconnectivity.
    • Understand when and how to use each product in a data analytics workflow.
    •  Learn how Google Cloud supports modern data-driven organizations.

  • Clear Learning Objectives and Outcomes

    • Defined goals for each module with measurable outcomes.
    • Quizzes and labs ensure comprehension and hands-on competence.
    • Prepares learners to explore advanced data analytics and cloud-based ML tools.

Who Should Attend?

  • Data analysts.
  • The course is structured to be accessible for beginners.

Prerequisites:

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

    • Why choose CloudThat as your training partner?

    • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
    • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
    • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
    • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
    • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
    • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
    • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
    • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

    Learning objective of course :

    • This course introduces learners to Google Cloud's data analytics tools and services.

    Course Outline:- Download Course Outline

  • 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

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

    • Quiz

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

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

    • 4 Labs, 1 Quiz

  • 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.

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

    • • 2 Labs , 1 Quiz

  • Find resources for additional learning & Support

    • Topic review
    • Slides

    • • 1 Lab

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    Course ID: 25213

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    This course is designed for beginners, including data analysts, business professionals, and newcomers who want to understand data analytics using Google Cloud tools.

    No prior experience is required. Basic familiarity with SQL and general data concepts is helpful but not mandatory.

    The course covers BigQuery, Looker, Looker Studio, and BigLake, focusing on data querying, exploration, visualization, and sharing.

    It is a 1-day, instructor-led training that combines theory, hands-on labs, and quizzes to ensure an interactive learning experience.

    Learners will complete 6 labs, including tasks like running SQL queries in BigQuery, creating dashboards in Looker, and exploring datasets using visualization tools.

    Yes, the course introduces basic SQL for querying data in BigQuery. No advanced SQL knowledge is required to start.

    The course emphasizes real-world applications, helping learners use data to answer business questions and support data-driven decision-making.

    This course serves as an introductory foundation. Learners interested in advanced topics like machine learning or in-depth SQL can pursue follow-up courses.

    Yes, upon completing all modules and hands-on labs, learners typically receive a course completion certificate from Google Cloud Learning Services.

    A basic understanding of data types, storage options, and familiarity with SQL is helpful but not required. The course is structured to be accessible for beginners.

    Enquire Now