Introduction to Data Analytics on Google Cloud

In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.

• Course Introduction
• This section welcomes learners to the Introduction to Data Analytics on Google Cloud course. In addition, this section introduces learners to the topics, concepts, and objectives of the course.
• Understand the Data Analytics Lifecycle on Google Cloud
• In this module, you receive a high-level introduction to a typical Google Cloud data analytics workflow, including what data sources and storage options are available, and examples of what types of data are best suited for data analysis versus machine learning training data.
• Explore Data and Extract Insights by Using BigQuery
• In this module, you receive a high-level introduction to BigQuery and its solution architecture, and use common SQL commands to locate specific data in BigQuery to answer a data-driven question.
• Make Data-driven Decisions by Using Looker
• In this module you learn the fundamentals of data exploration and visualization in Looker. In addition, you learn how to share data from Looker and Looker Studio.
• Course Summary
• This module reviews the topics covered in the course and provides resources for further learning.