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. 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.
Who should attend
Data analysts
Prerequisites
- Basic familiarity with SQL
- Basic understanding of data concepts such as data types (relational, non-relational) and storage (data lakes, data warehouses)
Course Objectives
- 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.
Outline: Introduction to Data Analytics on Google Cloud (IDAGC)
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.
Activities:
- Quiz
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: 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
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.