Udemy - SQL for Exploratory Data Analysis (EDA) Real World Project
About Udemy - SQL for Exploratory Data Analysis (EDA) Real World Project
Overview
SQL for Exploratory Data Analysis (EDA) | Real World Project https://WebToolTip.com Published 2/2026 Created by Baraa Khatib Salkini MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 19m ) | Size: 3.23 GB Analyze real datasets using SQL. Build KPIs, use aggregations, window functions, and generate insights. What you'll learn ✓ Master Real-World SQL EDA Skills: Learn how to explore databases, analyze dim
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SQL for Exploratory Data Analysis (EDA) | Real World Project
https://WebToolTip.com
Published 2/2026
Created by Baraa Khatib Salkini
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 19m ) | Size: 3.23 GB
Analyze real datasets using SQL. Build KPIs, use aggregations, window functions, and generate insights.
What you'll learn
✓ Master Real-World SQL EDA Skills: Learn how to explore databases, analyze dimensions and measures, and generate business insights using SQL.
✓ Translate Business Questions into SQL Queries: Convert real business problems into structured analytical queries and actionable insights.
✓ Build a Complete SQL Analytics Project: Apply structured Exploratory Data Analysis techniques on a real dataset from start to finish.
✓ Create Meaningful KPIs and Reports: Use SQL aggregations, ranking, cumulative analysis, and segmentation to answer real business questions.
✓ Analyze Trends and Performance Over Time: Perform change-over-time, magnitude, and part-to-whole analysis using professional SQL workflows.
✓ Develop Analytical Thinking: Learn how to approach new datasets confidently and structure your analysis like a real data analyst.
✓ Document and Present Your Work Professionally: Organize and document your SQL project using Git best practices for portfolio and interviews.
Requirements
● Basic SQL knowledge is required (SELECT, WHERE, GROUP BY, JOIN).
● A computer with internet access and a SQL environment (MySQL, PostgreSQL, SQL Server, or similar).
● Motivation to think analytically and solve real business problems using data.