Data Protection Courses

Ingesting DICOM Data with the Healthcare API

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn the basic functionality of Cloud Healthcare API using Digital Imaging and Commmuniations in Medicine (DICOM) data model.

• Coursera
• 1 hour 15 minutes
• Self-Paced
• Paid Course

Ingesting FHIR Data with the Healthcare API

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn the basic functionalities of Cloud Healthcare API using the Fast Healthcare Interoperability (FHIR) data model.

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

Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigt…

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

Protecting Data with NetApp Cloud Manager & Cloud Volumes ONTAP for Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to implement a full data protection strategy with NetApp Cloud Volumes ONTAP and Cloud Manager capabilities.

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

Connect and Configure Data for your AppSheet App

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll use AppSheet to connect and configure data for your app.

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

Redacting Sensitive Data with the DLP API

This is a self-paced lab that takes place in the Google Cloud console. Redacting Sensitive Data with the DLP API

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

Working with Onscreen Data in a Flutter Application

Develop a Flutter app with ListView widget, efficiently displaying data lists and customizing AppBar for enhanced functionality in this hands-on Google Cloud lab.

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

Creating a Data Transformation Pipeline with Cloud Dataprep

Visually explore, clean, and prepare structured and unstructured data for analysis using Cloud Dataprep's intuitive interface to build an efficient data transformation pipeline.

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

Filtering and Sorting Data in Looker

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to filter and sort data, and create looks with Looker.

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

Exploring Dataset Metadata Between Projects with Data Catalog

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

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

Migrating an application and data from Apache Cassandra™ to DataStax Enterprise

Learn to migrate an application and data from Apache Cassandra™ to DataStax Enterprise using Google Cloud. Hands-on practice with deploying databases, connecting applications, and using DataStax Bulk Loader for data transfer.

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

BigQuery Soccer Data Ingestion

Explore sports data science by importing soccer data into BigQuery tables. Learn to work with multiple data sources and lay the foundation for advanced analytics.

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

BigQuery Machine Learning using Soccer Data

This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.

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

BigQuery Soccer Data Analytical Insight

Gain deeper analytical insights from soccer event data using BigQuery. Learn sophisticated data analysis techniques to extract meaningful information from datasets.

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

BigQuery Soccer Data Analysis

Explore sports data science fundamentals by querying soccer data in BigQuery, answering intriguing questions and gaining insights into the beautiful game.

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