1
A Tour of Google Cloud Hands-on Labs
In this first hands-on lab you will access the Google Cloud console and use these basic Google Cloud features: Projects, Resources, IAM Users, Roles, Permissions, and APIs.
Data Analyst Learning Path
A Data Analyst gathers and analyzes data to identify trends and develops valuable insights to help solve problems and inform business decisions. They have skills in data cleansing, visualization, and analysis including an understanding of data ethics and tooling.
A Data Analyst gathers and analyzes data to identify trends and develops valuable insights to help solve problems. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Data Analyst role. Once you complete the path, check out our catalog for 700+ labs and courses to keep going on your professional journey.
2
Introduction to Data Analytics on Google Cloud
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...
3
Analyzing and Visualizing Data in Looker
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's...
4
Developing Data Models with LookML
This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start...
5
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Earn a skill badge by completing the Perform Foundational Data, ML, and AI Tasks quest, where you learn the basic features for the following machine learning and AI technologies: BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow,...
6
Exploring Data with Looker
Earn a skill badge by completing the Exploring Data with Looker quest, where you will learn how to use the Explore interface to access data published by LookML developers. In this quest, you will learn fundamentals of data exploration in...
7
Insights from Data with BigQuery
Earn a skill badge by completing the Insights from Data with BigQuery quest, where you learn about the following basic features of BigQuery: write SQL queries, create and manage database tables in Cloud SQL, query public tables, and load sample...
8
Create ML Models with BigQuery ML
Earn a skill badge by completing the Create ML Models with BigQuery ML quest, where you learn how to use BigQuery ML to: create machine learning models, create a classification model, create a forecasting model, and implement a chatbot using...
9
Applying Advanced LookML Concepts in Looker
In this quest, you will get hands-on experience applying advanced LookML concepts in Looker. You will learn how to use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and...
10
Data Catalog Fundamentals
Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets...
11
Build LookML Objects in Looker
Earn a skill badge by completing the Build LookML Objects in Looker quest, where you will learn how to do the following: design/build new dimensions and measures, views, and derived tables, set measure filters and types based on requirements, update...
12
Manage Data Models in Looker
Earn a skill badge by completing the Manage Data Models in Looker quest, where you will learn how to: maintain LookML project health; utilize SQL runner for data validation; employ LookML best practices; optimize queries and reports for performance; implement...