Cloud Data Analytics with BigQuery and Looker

Organizations today generate massive amounts of data, but the real value lies in the ability to process, analyze, and turn that data into actionable business insights. This text-based course guides you through the fundamentals of cloud-based data analytics, showing you how to manage and query data at scale. You will transition from a beginner to a confident analyst capable of querying massive datasets, understanding modern cloud architecture, and designing clear dashboards. Through structured written lessons and practical scenarios, you will learn how to transform raw data into valuable strategic assets. What you'll learn: - Understand foundational cloud data architecture, including data lakes, warehouses, and modern lakehouse patterns. - Write efficient SQL queries to filter, aggregate, and analyze large-scale datasets. - Build interactive data visualizations and business intelligence reports using Looker. - Configure basic data ingestion pipelines to transport raw data into analytical databases. - Apply modern analytical practices, including cost-optimization techniques and basic vector search concepts. - Practice structuring clean datasets optimized for business reporting. The course begins with essential terminology and data warehousing concepts before progressing to practical SQL techniques, data modeling, and visualization strategies. You will study written explanations, examine code snippets, and complete practical exercises designed to simulate real-world analyst workflows. This course is designed for aspiring data analysts, business professionals, and beginners looking to build a strong foundation in cloud analytics with no prior experience required. Start your journey into cloud data analytics today.