Course Title: SQL for Data Analysis: Extract, Analyze, and Unlock Insights from Relational Databases

Description:

Master the art of extracting and analyzing data from relational databases using two powerful tools: Microsoft Access SQL and Transact-SQL (T-SQL). This practical, beginner-friendly course is designed for aspiring data analysts, researchers, and professionals who want to harness the power of SQL for real-world data analysis tasks.

You'll learn how to query, filter, aggregate, and join data from RDBMS environments with hands-on demonstrations using both Microsoft Access and SQL Server. By the end of this course, you’ll be equipped to confidently explore datasets, generate insights, and support data-driven decision-making in your organization.

Course Outline:

Module 1: Introduction

Module 2: Querying a Single Table

Module 3: Understanding and Using SQL Joins

Module 4: Understanding Subqueries

Module 5: Working with Table Expressions (CTEs, Derived Tables, Views and Inline TVFs)

Module 6: Set Operators in SQL (UNION, INTERSECT, EXCEPT)

Module 7: Data Analysis with SQL (Aggregation, Ranking, Window Functions, Pivoting and Unpivoting Data)

Module 8: SQL Programming Essentials (Variables, Batches, IF ELSE, WHILE, Stored Procedures, User-Defined Functions, Dynamic Pivoting)

Conclusion

What You’ll Learn:

Fundamentals of relational databases and SQL syntax
Writing SELECT queries to extract specific data
Using filtering (WHERE), sorting (ORDER BY), and grouping (GROUP BY)
Combining data across tables with JOIN operations
Writing subqueries and working with table expressions
Using set operators and window functions in analysis
Understanding programmable database objects in T-SQL
Key differences and similarities between Access SQL and T-SQL

Who Should Enroll:

Beginners in data analysis or database querying
Business professionals handling data in SQL Server or Access
Students in computer science, data science, or business analytics
Anyone looking to build foundational SQL skills for career growth

Requirements:

No prior SQL experience required
A computer with Microsoft Access and SQL Server (or SQL Server Express)

SQL for Data Analysis (Swahili Course)

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