Data Management Courses

Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

This is a self-paced lab that takes place in the Google Cloud console. This lab will cover how to create a clickstream data analysis pipeline using ksqlDB.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Build an End-to-End Data Capture Pipeline using Document AI

Learn to create an automated document processing pipeline using Google Cloud's Document AI, Cloud Functions, and Pub/Sub. Extract form data, process addresses, and store results in BigQuery for efficient data capture and analysis.

• Coursera
• 40 minutes
• Self-Paced
• Paid Course

Creating a Data Warehouse Through Joins and Unions

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to create new reporting tables using SQL JOINS and UNIONs.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Troubleshooting and Solving Data Join Pitfalls

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Looker Data Explorer - Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create a series of visualizations from the Airports and Flights datasets and save them to a dashboard in Looker.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Online Data Migration to Cloud Spanner using Striim

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Importing Data to a Firestore Database

In this lab you will upload existing data (a CSV file) to a Firestore serverless database in the cloud.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Automating your BigQuery Data Pipeline with Cloud Dataprep

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will examine how Dataprep can be used on complicated data structures in BigQuery.

• Coursera
• 1 hour 20 minutes
• Self-Paced
• Paid Course

Big Data Analysis to a Slide Presentation

This is a self-paced lab that takes place in the Google Cloud console. This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Rent-a-VM to Process Earthquake Data

Spin up a virtual machine, configure security, access remotely, and execute an ingest-transform-publish data pipeline for earthquake data processing.

• Coursera
• 40 minutes
• Self-Paced
• Paid Course

Weather Data in BigQuery

In this lab you analyze historical weather observations using BigQuery and use weather data in conjunction with other datasets. This lab is part of a series of labs on processing scientific data.

• Coursera
• 35 minutes
• Self-Paced
• Paid Course

Visualizing Billing Data with Google Data Studio

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will harness the power of Data Studio, where you will learn how to build billing graphs and charts so you can slice and dice your GCP bill the way you want.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Analyzing Billing Data with BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create datasets and tables, import data from billing reports, and conduct a variety of queries on the data using BigQuery.

• Coursera
• 35 minutes
• Self-Paced
• Paid Course

Ingesting HL7v2 Data with the Healthcare API

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will discover and use the basic functionality of Cloud Healthcare API using HL7v2 messages.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

De-identifying DICOM Data with the Healthcare API

This is a self-paced lab that takes place in the Google Cloud console. Use the de-identification functionality of Cloud Healthcare API with the Digital Imaging and Communications in Medicine (DICOM) data model.

• Coursera
• 1 hour
• Self-Paced
• Paid Course