From Data to Insights with Google Cloud Specialization Course Syllabus

Overview: This specialization provides a comprehensive, hands-on introduction to data analysis and insight generation using Google Cloud's powerful tools. Over approximately 24 hours, learners will progress through a series of practical modules covering data querying, transformation, visualization, and machine learning. Each module builds on the previous one, culminating in a final project that demonstrates end-to-end data analysis proficiency. The course is designed for learners with basic SQL knowledge and offers lifetime access to all materials.

Module 1: Exploring and Preparing your Data with BigQuery

Estimated time: 7 hours

• Query and draw insights from BigQuery public datasets
• Develop automated data cleansing pipelines
• Write and troubleshoot SQL queries on real datasets
• Assess data quality using BigQuery functions

Module 2: Creating New BigQuery Datasets and Visualizing Insights

Estimated time: 8 hours

• Create permanent and temporary tables from query results
• Load and create new datasets inside BigQuery
• Differentiate between SQL JOINs and UNIONs and when to use each
• Create dashboards and visualizations with Looker Studio

Module 3: Achieving Advanced Insights with BigQuery

Estimated time: 9 hours

• Discuss advanced SQL functions in BigQuery
• Understand BigQuery’s architecture and performance optimization techniques
• Apply advanced SQL functions and optimize query performance
• Implement permission controls and data sharing strategies

Module 4: Implementing Machine Learning Models with BigQuery ML

Estimated time: 6 hours

• Apply machine learning models using BigQuery ML
• Train and evaluate models directly in BigQuery
• Use SQL to generate predictions from ML models

Module 5: Data Quality and Pipeline Automation

Estimated time: 5 hours

• Develop automated data cleansing pipelines
• Assess and improve data quality
• Implement repeatable data processing workflows

Module 6: Final Project

Estimated time: 8 hours

• Query and process large-scale datasets using Google BigQuery
• Create interactive dashboards and visualizations with Looker Studio
• Deliver a comprehensive data analysis report with actionable insights

Prerequisites

• Basic understanding of SQL
• Familiarity with cloud computing concepts
• Experience with data analysis or related field recommended

What You'll Be Able to Do After

• Query and process large-scale datasets using Google BigQuery
• Develop automated data cleansing pipelines and assess data quality
• Create dashboards and visualizations with Looker Studio
• Apply advanced SQL functions and optimize query performance
• Implement machine learning models using BigQuery ML