Google Cloud Analytics Courses and Certifications

Exploring the Lineage of Data with Cloud Data Fusion

This is a self-paced lab that takes place in the Google Cloud console. This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.

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

Dataproc: Qwik Start - Command Line

Create a Cloud Dataproc cluster from the gcloud command line, run a simple Apache Spark job on it, and resize the cluster's worker count.

• 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

Assessing Data Quality with Dataplex

Assess data quality with Dataplex in a self-paced, hands-on lab run entirely in the Google Cloud console.

• Coursera
• 1 hour 30 minutes
• 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

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

Whizlabs

GCP: Database and Storage

Explore Google Cloud data services: Cloud SQL, Spanner, Bigtable, Firestore and BigQuery, plus Cloud Storage buckets and Dataflow, Dataproc and Dataprep processing pipelines.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Predict Taxi Fare with a BigQuery ML Forecasting Model

Explore millions of New York City yellow taxi trips in a BigQuery public dataset, build a fare-prediction model inside BigQuery ML, and evaluate its performance.

• Coursera
• 1 hour
• 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

Google BigQuery for Data and ML Engineers

Learn to work in Google BigQuery: batch and streaming ingestion, advanced SQL exploration with Python and Spark, classification, regression and time series models, and generative AI text processing.

• Coursera
• 6 hours 2 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

Using BigQuery and Cloud Logging to Analyze BigQuery Usage

This is a self-paced lab that takes place in the Google Cloud console. In this lab you view the BigQuery logs inside Cloud Logging, set up a sink to export them back into BigQuery, and then use SQL to analyze the logs.

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

Using BigQuery Machine Learning for inference

Learn to create and manage machine learning models in BigQuery ML for inference, covering supported model types and use cases for data analysts.

• Coursera
• 4 hours
• Self-Paced
• Paid Course

Getting Started with Liquid to Customize the Looker User Experience

In this lab you will use Liquid to customize dimensions and measure in Looker.

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

Sending and Scheduling Dashboards in Looker

This is a self-paced lab that takes place in the Google Cloud console.In this lab, you learn about the different options for sharing and scheduling dashboards in Looker.

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