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. Introduction to Data Analytics on Google Cloud Benefits In this course, you will: 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) Google Data Analytics Course Outline Learning Objectives Module 1: Understand the Data Analytics Lifecycle on Google Cloud 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 Describe BigQuery and the BigQuery solution architecture. Derive insights from data by using BigQuery. Use the BigQuery user interface to run basic queries. Module 3: Make Data-Driven Decisions by Using Looker 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.
