Introduction to Data Analytics on Google Cloud
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.
What you will learn
- 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
Training Program
4 modules to master the fundamentals
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.
Topics covered
- →Data analytics workflow
- →Data sources
- →Storage methods
- →Google Cloud data analytics products
- →Data types
Activities
Quiz
Objectives
- Describe BigQuery and the BigQuery solution architecture.
- Derive insights from data by using BigQuery.
- Use the BigQuery user interface to run basic queries.
Topics covered
- →BigQuery services, capabilities, and organization
- →Data storage
- →Basic SQL
- →Answering data-driven questions
Activities
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
Quiz
Objectives
- Manipulate a Looker Explore to answer data-driven questions.
- Create a situation-appropriate visualization to highlight the answer for a data-driven question.
- Choose between Looker and Looker Studio for data visualization and sharing.
- Share visualizations with others.
Topics covered
- →Looker data exploration terms and concepts
- →Looks and dashboards
- →Visualizations
- →Report sharing
- →Looker Studio
Activities
Lab 1: Looker Data Explorer—Qwik Start
Lab 2: Looker Data Studio—Qwik Start
Quiz
Objectives
- Find resources for additional learning and support.
Topics covered
- →Topic review
- →Slides
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Upcoming sessions
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote