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Coursera

Query Your Data: SQL for the AI Era

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Overview

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Modern marketing analytics requires more than dashboards you need the ability to access and shape raw data. In Query Your Data: SQL for the AI Era, you’ll learn how to use SQL and AI tools together to extract, analyze, and validate marketing data across multiple sources. You’ll start by understanding how marketing data is structured across tables such as sessions, events, ads, and CRM records. You’ll learn how to use SQL joins to connect these sources and create campaign-level views that link ad spend to revenue outcomes. Rather than writing every query from scratch, you’ll focus on prompting AI tools to generate SQL and then reviewing the output to ensure accuracy. Next, you’ll build and validate queries that calculate key metrics like cost, leads, and revenue. You’ll learn how to test results against source data to catch issues before they affect reporting. This ensures that your analysis is both correct and trustworthy. Finally, you’ll improve query performance and accuracy. You’ll identify common issues like double counting from joins, incorrect aggregations, and slow queries caused by large data scans. Using techniques like filtering, pre-aggregation, and query structuring, you’ll optimize SQL for real-world marketing datasets. This course is designed for marketers and analysts who want to move beyond platform reports and build custom datasets for deeper insights and better decision-making.

Syllabus

  • SQL: Extract and Join Marketing Data
    • Learn how to bridge the gap between "clicks" and "customers." This module teaches you how to write SQL joins that link website session data to CRM revenue records.
  • SQL: Analyze and Optimize Queries
    • Big data requires smart queries. You will learn to refine complex SQL to run faster and ensure your aggregation logic correctly counts marketing events without double-counting.

Taught by

ansrsource instructors

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