Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
SQL for Exploratory Data Analysis (EDA) | Real World Project
Rating: 5.0 out of 5(5 ratings)
37 students

SQL for Exploratory Data Analysis (EDA) | Real World Project

Analyze real datasets using SQL. Build KPIs, use aggregations, window functions, and generate insights.
Created byBaraa Khatib Salkini
Last updated 2/2026
English
English [Auto],

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.

Course content

3 sections • 22 lectures • 2h 19m total length

  • Introduction To Exploratory Data Analysis Project (EDA)0:57
  • Project Resources0:20
  • Data Analytics Project Roadmap1:53

    Discover the data analytics project roadmap for exploratory data analysis, from exploring tables, columns, and dates to magnitude analysis, ranking, and reporting using SQL.

  • What is EDA and Why Data Analysts do it?1:14
  • Dimensions vs Measures4:34
  • Environment Setup: SQL Server, SSMS and Databases14:17

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.

Description

Become a SQL Data Analyst: Master Exploratory Data Analysis (EDA) with Real-World Projects & Expert Guidance!

Welcome to the most practical, structured, and career-focused SQL Exploratory Data Analysis course on Udemy - created by a data professional with over 17 years of experience at industry-leading companies like Mercedes-Benz and Bosch.

Designed specifically for aspiring data analysts, SQL learners, career switchers, and professionals seeking advanced analytical skills, this course helps you achieve real career outcomes like building a strong portfolio, becoming interview-ready, and confidently solving real business problems using SQL.

What sets this course apart:

  • Expert Credibility: Learn directly from an experienced data professional with real-world enterprise analytics expertise.

  • Structured Analytical Framework: Follow a clear, professional EDA workflow used inside real data teams.

  • Career-Focused Outcomes: Gain practical SQL analytics skills that employers expect from modern data analysts.

  • Certificate of Completion: Strengthen your professional profile by showcasing your certificate on LinkedIn and your resume.

  • Real-World Hands-on Project: Work through a complete analytical project based on realistic business scenarios, building tangible, market-ready experience.

You'll gain deep expertise in:

  • Database Exploration: Understand schema structure, identify key tables, and explore data like a professional analyst.

  • Dimensions & Measures Analysis: Distinguish between dimensions and metrics, and structure meaningful KPIs.

  • Date & Time Analysis: Perform change-over-time analysis to detect trends and patterns.

  • Magnitude & Ranking Analysis: Identify top-performing products, customers, and segments using SQL aggregations and analytical queries.

  • Cumulative & Performance Analysis: Evaluate growth, running totals, and business performance over time.

  • Part-to-Whole Analysis: Understand contribution percentages and distribution across segments.

  • Data Segmentation: Group customers and products into meaningful business categories using SQL logic.

  • Professional Reporting & Documentation: Build structured analytical reports and document your SQL project using Git best practices.

Join thousands of learners building real analytical skills, gain the confidence to excel in SQL interviews, and become the Data Analyst companies are actively looking for.

Enroll now and turn your SQL knowledge into real analytical power.

Who this course is for:

  • SQL learners who already know the basics but struggle to analyze real datasets.
  • Junior Data Analysts who want to strengthen their SQL analytical thinking.
  • BI developers who want to improve their KPI and segmentation analysis skills.
  • Students who have completed a basic SQL course and want real project experience.
  • Professionals working with dashboards who want deeper SQL insight behind the reports.
  • Career switchers who want practical experience instead of just theory.
  • Anyone who wants to move from writing queries to generating real business insights.

Report abuse