This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, this course demonstrates how to go from raw 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.
Overview
Syllabus
- Course Introduction
- Course introduction
- Understand the Data Analytics Lifecycle on Google Cloud
- Understand the data analytics lifecycle on Google Cloud: Introduction
- Introducing a Google Cloud data analytics workflow
- Google Cloud data sources and storage methods
- Quiz: Understand the data analytics lifecycle on Google Cloud
- Understand the data analytics lifecycle on Google Cloud: Summary
- Explore Data and Extract Insights by Using BigQuery
- Explore data and extract insights using BigQuery: Introduction
- Introduction to BigQuery for data analysts
- Derive insight from data with BigQuery
- Lab introduction: BigQuery: Qwik Start - Console
- BigQuery: Qwik Start - Console
- BigQuery organizes data to make analytics easier
- Quiz: Explore data and extract insights using BigQuery
- Explore data and extract insights using BigQuery: Summary
- Make Data-driven Decisions by Using Looker
- Make data-driven decisions using Looker: Introduction
- Use Looker to analyze and chart data
- Lab introduction: Looker Data Explorer - Qwik Start
- Looker Data Explorer - Qwik Start
- Visualize data using Looker studio
- Lab introduction: Looker Studio: Qwik Start
- Looker Studio: Qwik Start
- Share reports and visualizations
- Quiz: Making data-driven decisions using Looker
- Make data-driven decisions using Looker: Summary
- Course Summary
- Course Summary
- Course Resources
- Your Next Steps
- Course Badge
