Google Cloud Data Analytics Professional Certificate Course Syllabus

Overview: This professional certificate program by Google Cloud is designed to equip beginners with essential cloud-based data analytics skills. The course spans approximately 5-6 months at a pace of 5-7 hours per week, totaling around 150 hours. Learners will progress through hands-on modules covering core tools like BigQuery and Looker, build data pipelines, and complete a capstone project to showcase real-world proficiency in data processing, analysis, and visualization on Google Cloud.

Module 1: Introduction to Data Analytics on Google Cloud

Estimated time: 20 hours

• Understand the fundamentals of data analytics in the cloud
• Explore the Google Cloud Platform (GCP) ecosystem
• Identify key roles in cloud data analytics
• Learn about data storage, querying, and visualization workflows

Module 2: BigQuery for Data Analysts

Estimated time: 35 hours

• Write and optimize SQL queries in BigQuery
• Import and export data using Cloud Storage
• Analyze large datasets with real-world case studies
• Apply performance tuning and query best practices

Module 3: Data Visualization with Looker

Estimated time: 35 hours

• Understand Looker’s interface and LookML basics
• Create interactive dashboards and visual reports
• Transform raw data into compelling visual insights
• Use storytelling techniques to communicate findings effectively

Module 4: Building Batch Data Pipelines on Google Cloud

Estimated time: 50 hours

• Construct batch data pipelines using Cloud Storage and Dataproc
• Automate data transformations with Dataflow and SQL
• Develop scalable processing workflows using Python
• Explore architecture patterns for reliable data pipelines

Module 5: Generative AI and Advanced Analytics

Estimated time: 20 hours

• Apply generative AI tools for data insights
• Automate reporting and analysis tasks using AI
• Enhance queries and visualizations with AI assistance

Module 6: Final Project

Estimated time: 60 hours

• Complete an end-to-end data analytics project on Google Cloud
• Clean, process, and analyze a real-world business dataset
• Present findings using dashboards in Looker and summary reports

Prerequisites

• Familiarity with basic SQL concepts
• Basic understanding of data handling and spreadsheets
• No prior cloud or programming experience required

What You'll Be Able to Do After

• Query and analyze large datasets using BigQuery
• Build interactive dashboards with Looker for data storytelling
• Design and manage batch data pipelines on Google Cloud
• Apply generative AI to enhance data analysis workflows
• Demonstrate job-ready skills through a portfolio-ready capstone project