The 10 best Data Warehousing courses in 2026

In this course we're going to use CoCo, Snowflake's AI coding agent, to build a real data engineering project. But more importantly, we're going to do it the right way by encoding our standards and conventions into reusable Skills and Plugins so that every member of your team gets consistent, professional results from the agent, not just you, and not just today.

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to ingest new datasets into tables inside of BigQuery.

Whether you’re an aspiring data engineer, data architect, business analyst, or data scientist, strong data warehousing skills are a must. With the hands-on experience and competencies, you gain on this course, your resume will catch the eye of employers and power up your career opportunities. A data warehouse centralizes and organizes data from disparate sources into a single repository, making it easier for data professionals to access, clean, and analyze integrated data efficiently. This course teaches you how to design, deploy, load, manage, and query data warehouses, data marts,

This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to query public tables and load sample data into BigQuery using the Web UI. Watch the short videos Get Meaningful Insights with Google BigQuery and BigQuery: Qwik Start - Qwiklabs Preview.

The **Data Analytics and Processing on AWS** course is designed to provide learners with a comprehensive understanding of AWS services used for data analytics, big data processing, data integration, and visualization. This course introduces the core AWS analytics services that enable organizations to ingest, process, analyze, and visualize large volumes of data, helping them build scalable, data-driven solutions in the cloud. The course covers key services such as Amazon Redshift for data warehousing, Amazon EMR for big data processing, Amazon Kinesis Data Streams and Amazon Data Firehose for

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to export data from Google Earth Engine to BigQuery using the Earth Engine Code Editor.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use an AI Platform Notebook instance to retrieve as many transactions as possible from BigQuery within 2 degrees of separation from the pizza exchange, post-process the transactions to remove excess transaction, then visualize the directed graph.

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the potential of cloud data warehousing with Azure Synapse Analytics. This course begins by introducing the core concepts of cloud-based warehousing, highlighting the advantages over traditional systems. You will gain insights into Synapse Analytics' unified approach to data, enabling you to manage SQL and Spark workloads with ease, al

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course provides hands-on experience with essential AWS data engineering tools and techniques. You’ll work on real-world projects using services like Redshift, DynamoDB, Athena, Glue, Kinesis, and Step Functions to build data pipelines, automate workflows, and process data at scale. Through labs, you'll learn to develop batch and real-time data processing solutions,

This is a self-paced lab that takes place in the Google Cloud console. Learn how to perform financial account reconciliation tasks using Cloud Spanner, Dataflow, and BigQuery.