Cloud Data Analytics: Analyzing and Visualizing Data with BigQuery

Organizations today generate massive amounts of data, but the real value lies in the ability to transform that raw information into actionable business strategies. This course provides a clear, step-by-step introduction to managing the entire data lifecycle using modern cloud-based analytics tools. You will transition from understanding basic data concepts to confidently executing SQL queries, cleaning messy datasets, and building clear, interactive dashboards to share with stakeholders. What you'll learn: - Understand foundational cloud data concepts, storage options, and the core stages of the data analytics pipeline. - Query large-scale datasets using SQL within BigQuery to extract meaningful business insights. - Clean and prepare raw, unstructured data for analysis using cloud-native data preparation tools. - Design and build clear, interactive dashboards to communicate findings effectively to stakeholders. - Apply modern analytics engineering concepts and explore basic machine learning models directly within your data warehouse. The course begins by establishing essential terminology and cloud architecture basics before moving into hands-on data querying, cleaning, and visualization techniques. You will read through practical scenarios and analyze real-world case studies to reinforce your learning. This course is designed specifically for beginners, aspiring data analysts, and business professionals looking to leverage cloud technology. No prior experience with programming or database management is required. Start your journey into cloud-based data analytics and unlock the power of modern data tools today.