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. 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.
Why Choose KORNERSTONE
- Accredited, practitioner-led, expert certificate trainers to provide high quality training
- Official training material included
- Practical, scenario-based learning – focus on application, not just theory
- Excellent Passing Rate
Skills Covered
- 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.
Prerequisites
- Basic familiarity with SQL
- Basic understanding of data concepts such as data types (relational, non-relational) and storage (data lakes, data warehouses)
Target Audience
- Data analysts
Course Curriculum
Module 1: Understand the Data Analytics Lifecycle on Google Cloud
Topics
- Data analytics workflow
- Data sources
- Storage methods
- Google Cloud data analytics products
- Data types
Objectives
- 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.
Module 2: Explore Data and Extract Insights by Using BigQuery
Topics
- BigQuery services, capabilities, and organization
- Data storage
- Basic SQL
- Answering data-driven questions
Objectives
- Describe BigQuery and the BigQuery solution architecture.
- Derive insights from data by using BigQuery.
- Use the BigQuery user interface to run basic queries.
Activities
- Lab 1: Looker Data Explorer—Qwik Start
- Lab 2: Looker Data Studio—Qwik Start
- Quiz
Module 3: Make Data-Driven Decisions by Using Looker
Topics
- Looker data exploration terms and concepts
- Looks and dashboards
- Visualizations
- Report sharing
- Looker Studio
Objectives
- 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
- Lab 1: Looker Data Explorer—Qwik Start
- Lab 2: Looker Data Studio—Qwik Start
- Quiz
Module 4: Course Summary
Topics
- Topic review
- Slides
Objectives
- Find resources for additional learning and support.
Dates & Locations
Exam & Certification
Note: There is no exam directly associated with this course. However, Google Cloud offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2025 and beyond. Obtaining a Google Cloud certified credential is one of the most effective ways to validate your skills and accelerate your career.
With our expert-led training, you’ll be prepared to:
- Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
- Prove your expertise with a globally respected credential recognized by employers worldwide.
- Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.
Explore our full range of Google Cloud certifications and start building the skills that matter today.
