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SQL for Data Analysis

Course Overview

This practical training program equips participants with the SQL skills required to retrieve, organize, analyze, and interpret data stored in relational databases. Participants will learn how to write efficient queries, combine multiple datasets, perform business-focused analysis, and transform raw data into clear insights that support informed decision-making.

What You Will Learn

By the end of the program, participants will be able to:

  • Understand relational database concepts and structures.
  • Write SQL queries to retrieve and filter data.
  • Sort, group, and summarize large datasets.
  • Combine data from multiple tables using joins.
  • Use aggregate functions to calculate business metrics.
  • Apply subqueries and common table expressions.
  • Clean and transform data using SQL functions.
  • Analyze trends, performance, and customer behavior.
  • Use window functions for advanced analysis.
  • Build a complete SQL analysis project.

Who Should Attend

  • Aspiring data analysts and business intelligence professionals.
  • Business analysts and reporting specialists.
  • Excel and Power BI users seeking stronger data skills.
  • Finance, marketing, sales, HR, and operations professionals.
  • Database users who need to extract and analyze information.
  • University students and recent graduates pursuing data-related careers.
  • Professionals with little or no previous SQL experience.

Course Curriculum

Module 1: SQL and Relational Database Fundamentals
  • Understand databases, tables, records, fields, and data types.
  • Explore primary keys, foreign keys, and table relationships.
  • Learn the basic structure and execution order of SQL queries.
  • Retrieve data using SELECT, aliases, and calculated fields.
Module 2: Filtering, Sorting, and Summarizing Data
  • Filter records using WHERE and comparison operators.
  • Apply AND, OR, IN, BETWEEN, LIKE, and null conditions.
  • Sort and limit query results for focused analysis.
  • Summarize data using aggregate functions and GROUP BY.
Module 3: Combining and Transforming Data
  • Combine tables using inner, left, right, and full joins.
  • Use self joins and unions for complex data structures.
  • Transform text, numeric, and date values using SQL functions.
  • Apply conditional logic using CASE expressions.
Module 4: Advanced SQL for Business Analysis
  • Create subqueries to solve multi-step analytical questions.
  • Organize complex queries using common table expressions.
  • Apply window functions for ranking and running totals.
  • Analyze trends, customer segments, and performance indicators.
Module 5: Query Optimization and Practical Project
  • Improve query readability, accuracy, and maintainability.
  • Understand indexes and the fundamentals of query performance.
  • Validate results and detect duplicate or inconsistent data.
  • Complete an end-to-end SQL business analysis project.

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Course Details

Course Fee

199$ per participant

Course Duration

5 days — 25 training hours

Delivery Method

Live Online Training, In-Person Training

Training Language

English and Arabic are Available

Course Level

All Levels

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