What You'll Learn

  • BigQuery Fundamentals and Google Cloud Platform setup
  • Writing and optimising BigQuery SQL queries
  • Data warehousing design and best practices
  • Partitioning and clustering for performance
  • Machine Learning workflows in BigQuery
  • Cost optimisation and resource management

Course Modules

1

BigQuery Fundamentals

Introduction to BigQuery, GCP setup, and understanding datasets and tables.

2

SQL on BigQuery

Writing scalable SQL queries, joins, aggregations, and functions.

3

Data Warehousing & Optimisation

Partitioning, clustering, nested data structures, and query optimisation.

4

Advanced Topics & ML

BigQuery ML, data integration, and cost management strategies.

Tools & Technologies

Google Cloud
BigQuery
bq CLI
Data Studio

Career Relevance

Data Analyst

Essential for querying huge datasets and creating scalable dashboards.

Data Scientist

BigQuery ML enables streamlined machine learning workflows.

Data Engineer

Core infrastructure tool for building cloud data pipelines.

Prerequisites

  • Strong SQL knowledge (SQL course recommended)
  • Google Cloud Platform account (free tier available)
  • Understanding of data warehousing concepts
  • Data analysis experience

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