Google Cloud Analytics Courses and Certifications

BigQuery Fundamentals for Oracle Professionals

Learn BigQuery fundamentals, architecture, data modeling, security, ingestion, schema optimization, and SQL querying, with comparisons to Oracle for easy transition to Google Cloud's data warehouse solution.

• Coursera
• 5 hours 47 minutes
• Self-Paced
• Paid Course

Dataflow: Qwik Start - Templates

This is a self-paced lab that takes place in the Google Cloud console. This page shows you how to create a streaming pipeline using a Google-Provided Cloud Dataflow template.

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

BigQuery: Qwik Start - Console

Learn to query public tables and load sample data into BigQuery using the Google Cloud console, gaining hands-on experience with this powerful data analytics tool.

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

Getting Started with BigQuery Machine Learning

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn how to use BigQuery to create machine learning models for datasets to create a model that predicts whether a visitor will make a transaction.

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

BigQuery Fundamentals for Teradata Professionals

Learn BigQuery fundamentals, including resource provisioning, data management, and query optimization, with a focus on transitioning from Teradata to Google Cloud's data warehouse solution.

• Coursera
• 5 hours 47 minutes
• 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

Explore SAP Data Foundation using Looker Dashboards

Visualize Google Cloud Cortex Data Foundation for SAP with pre-installed Looker reports, gaining insights through interactive dashboards and analytics.

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

Assessing Data Quality with Dataplex

Explore data quality assessment using Dataplex in Google Cloud console, gaining hands-on experience with this powerful tool for effective data management.

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

Dataproc: Qwik Start - Command Line

Learn to create and manage a Google Cloud Dataproc cluster, run Apache Spark jobs, and adjust worker nodes using the gcloud Command Line in this hands-on lab.

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

Loading Your Own Data into BigQuery

This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how to ingest data from a CSV file into tables in BigQuery.

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

Creating Date-Partitioned Tables in BigQuery

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.

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

Ingesting New Datasets into BigQuery

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.

• Coursera
• 1 hour
• 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

Analytics as a Service for Data Sharing Partners

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how Authorized Views in BigQuery can be shared and consumed to create customer-specific dashboards.

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

Whizlabs

GCP: Database and Storage

Master GCP's database and storage services including Cloud SQL, BigQuery, Firestore, and Cloud Storage with hands-on experience in data analytics, migration, and pipeline architecture.

• Coursera
• 8 hours 39 minutes
• Self-Paced
• Paid Course