Google Cloud Analytics Courses and Certifications

Coursera

Working with BigQuery

278 ratings at Coursera

Query massive datasets in Google BigQuery with SQL, then build quick visualizations, save views, and create and share a report on your big data.

• Coursera
• 1 hour 32 minutes
• Self-Paced
• Paid Course

Introduction to Google Cloud BigQuery

2746 ratings at Udemy

From Loading and Querying Data to Optimizing Performance for Data Analysts, Data Engineers, and Data Scientists

• Udemy
• 2 hours 48 minutes
• Self-Paced
• Paid Course

Google Cloud (GCP) MasterClass : GCP Live Projects

2386 ratings at Udemy

Google Cloud (GCP) Platform: GCP Essentials, Cloud Computing, GCP Associate Cloud Engineer, Professional Cloud Architect

• Udemy
• 1 day 7 hours 2 minutes
• Self-Paced
• Paid Course

Career Certificate

Serverless Data Processing with Dataflow

133 ratings at Coursera

Build data processing applications on Google Cloud Dataflow: unify batch and stream processing with Apache Beam, develop pipelines, then monitor, troubleshoot, test, and operate them reliably.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Serverless Data Processing with Dataflow: Foundations

94 ratings at Coursera

Learn how Dataflow runs Apache Beam pipelines: Beam Portability, Runner v2, cross-language transforms, separating compute and storage with Shuffle Service, plus IAM roles, quotas, and security models.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

BigQuery for Data Analysts

85 ratings at Coursera

Explore, clean, and transform data in BigQuery with SQL, choose ELT or ETL ingestion approaches, build dashboards in Looker Studio, and version SQL pipelines with Dataform.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

The Complete Google BigQuery Masterclass: Beginner to Expert

1466 ratings at Udemy

Master Google BigQuery Analytics with SQL used in Big Query to analyze Real data for data scientists, Developers, etc.

• Udemy
• 8 hours 31 minutes
• Self-Paced
• Paid Course

Developing Data Models with LookML

73 ratings at Coursera

Build LookML models in Looker: define dimensions and measures, design custom Explores for business users, and create derived tables with datagroup caching policies.

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

Serverless Data Processing with Dataflow: Develop Pipelines

44 ratings at Coursera

Develop Dataflow pipelines with the Beam SDK: windows, watermarks and triggers, sources and sinks, schemas, State and Timer APIs, SQL, DataFrames and Beam notebooks.

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

Introduction to Looker

37 ratings at Coursera

Explore, analyze, and visualize data with Looker: connect data sources, work with LookML and governed Explores, build dashboards, and use Gemini's AI assistants.

• Coursera
• 1 hour 50 minutes
• Self-Paced
• Paid Course

Looker - Complete Guide to Google Looker - User and Analyst

1157 ratings at Udemy

Use Looker to analyze data, create graphs, and build reports and dashboards with the beginner to expert Looker guide

• Udemy
• 7 hours 51 minutes
• Self-Paced
• Paid Course

Serverless Data Processing with Dataflow: Operations

24 ratings at Coursera

Monitor, troubleshoot, and tune Dataflow pipelines: Job Metrics and alerting policies, error reporting, unit testing and CI/CD, reliability patterns, and Flex Templates.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

Analyzing and Visualizing Data the Google Way

22 ratings at Coursera

Analyze and visualize data with BigQuery and Connected Sheets in Google Sheets, answering business questions and sharing insights with stakeholders.

• Coursera
• 7 hours 57 minutes
• Self-Paced
• Paid Course

Getting Started with BigQuery GIS for Data Analysts

16 ratings at Coursera

This is a self-paced lab that takes place in the Google Cloud console. BigQuery GIS allows you to easily analyze and visualize geospatial data in BigQuery.

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

Career Certificate

Integrate Generative AI Into Your Data Workflow

14 ratings at Coursera

Use Gemini and BigQuery ML to build, evaluate, and deploy predictive models, generate and troubleshoot code, and speed up analysis in the Google Cloud console.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses