Sql For Data Analysis: Beginner To Advanced

Start with SQL basics and advance through joins, subqueries, CTEs, and window functions—real business use cases included

What you'll learn

Write powerful SQL queries to filter, aggregate, and transform data for real-world data analysis projects.

Master SQL joins, subqueries, and window functions to combine and analyze complex datasets efficiently.

Create, manage, and optimize databases using best practices in SQL for performance and scalability.

Apply SQL in data analytics workflows by extracting insights from business datasets and building reports.

Use advanced SQL techniques such as Common Table Expressions (CTEs), stored procedures, and functions for automation.

Master foundational to advanced SQL syntax (SELECT, JOIN, GROUP BY, subqueries, CTEs) to extract and analyze data efficiently.

Apply SQL to practical business scenarios like sales reports, customer segmentation, and performance metrics using real datasets.

Requirements

No prior SQL or database experience required — this course starts from the absolute basics and builds up to advanced SQL for data analysis.

A computer (Windows, macOS, or Linux) with internet access.

Willingness to learn by practicing SQL queries through hands-on exercises and real-world datasets.

(Optional but helpful) Basic understanding of data analysis or working with spreadsheets like Excel or Google Sheets.

A Curiosity for Data! – Whether you’re in marketing, finance, or just love numbers, this course turns raw data into insights.

Description

From Beginner to Advanced ; Master SQL for Data AnalysisStart your SQL journey with confidence and advance to mastering complex analytical workflows. This course takes you from the basics SELECT statements, filtering, and joining tables,to advanced techniques like subqueries, Common Table Expressions (CTEs), window functions, and performance optimization.Why This Course Stands OutStructured for All LevelsBegin with foundational concepts and gradually build your skills. Whether you're new to SQL or already writing queries, you’ll advance at your pace.Real-World Business Use CasesEach topic includes practical examples,analyzing sales trends, aggregating performance, generating running totals, monitoring changes, and beyond.Hands-On PracticeBuild real SQL fluency with quizzes, exercises, and projects that reinforce each concept and mirror real analysis challenges.Career-Ready Learning PathBy completion, you'll confidently tackle tasks like:Filtering and grouping data effectivelyWriting joins and subqueries for complex datasetsExploring rolling metrics and row comparisonsOptimizing queries for speed and accuracyWhat You’ll LearnCore SQL FundamentalsSELECT, WHERE, GROUP BY, ORDER BY, and JOINsAdvanced Query TechniquesSubqueries, CTEs, UNION, and logical expressionsAnalytical ToolsWindow functions (ROW_NUMBER, RANK, LAG, LEAD, SUM OVER, etc.)Real Data ModelingData cleansing, handling date/time, and NULLsPerformance SkillsIndex use, query optimization, and efficient patternsWho This Course is ForBeginners eager to build a strong analytical foundationData professionals looking to sharpen SQL for analysisAnalysts transitioning from Excel to relational databasesLearners preparing for data-heavy roles or SQL interviewsWhy You Should EnrollSQL is consistently a top in-demand skill, especially for analysts. This course teaches you how to think with SQL, not just memorize syntax. Your ability to solve real business questions with data will grow, aided by clear explanations, real datasets, and continuous practice.Join now and become truly data-smart, no prior experience required. Empower your career with SQL fluency!

Overview

Section 1: INTRODUCTION

Lecture 1 Introduction - Meet the Instructor

Lecture 2 SQL Installation

Lecture 3 Case Study Part1 - Business Problems

Lecture 4 Case Study Part2 - Understanding the Data

Lecture 5 ORDER BY Practice

Section 2: BASIC

Lecture 6 CREATE Statement

Lecture 7 CREATE and INSERT Statement 1

Lecture 8 CREATE and INSERT Statement 2

Lecture 9 CREATE and INSERT Statement 3

Lecture 10 SELECT Statement

Lecture 11 TOP Statement

Lecture 12 WHERE Clause

Lecture 13 WHERE Clause with Comparison Operator

Lecture 14 WHERE Clause with Logical Operator 1

Lecture 15 WHERE Clause with Logical Operator 2

Lecture 16 WHERE Clause with Logical Operator 3

Lecture 17 ORDER BY Statement

Lecture 18 ORDER BY practice

Lecture 19 ARITHMETIC

Lecture 20 BASIC SECTION RECAP

Section 3: SQL JOINS

Lecture 21 Introduction to JOINS

Lecture 22 Database Design

Lecture 23 JOIN Syntax

Lecture 24 INNER JOIN

Lecture 25 LEFT & RIGHT JOINS

Lecture 26 FULL OUTER JOIN

Section 4: SQL AGGREGATIONS

Lecture 27 Introduction to SQL Aggregation

Lecture 28 SQL NULLs

Lecture 29 COUNT

Lecture 30 SUM

Lecture 31 SUM Practice

Lecture 32 MIN & MAX

Lecture 33 MIN & MAX Practice

Lecture 34 AVG

Lecture 35 AVG Practice

Lecture 36 GROUP BY

Lecture 37 GROUP BY Practice

Lecture 38 HAVING

Lecture 39 HAVING Practice

Lecture 40 DATE GROUP BY

Lecture 41 DATE GROUP BY Practice

Lecture 42 CASE Statement

Lecture 43 CASE Statement Practice

Section 5: SUBQUERIES & TEMP TABLES

Lecture 44 Introduction

Lecture 45 First Subqueries

Lecture 46 Subqueries in other Clauses

Lecture 47 Subqueries Practice

Lecture 48 Common Table Expression (CTE)

Lecture 49 CTE Practice

Lecture 50 Temp Table

Section 6: SQL DATA CLEANING

Lecture 51 Introduction

Lecture 52 LEFT & RIGHT

Lecture 53 CHARINDEX & SUBSTRING

Lecture 54 CONCAT

Lecture 55 CAST

Section 7: (ADVANCED) SQL WINDOW FUNCTIONS

Lecture 56 Introduction

Lecture 57 Windows Functions

Lecture 58 ROW_NUMBER(), RANK() & DENSE_RANK()

Lecture 59 Aggregation in Window Function

Lecture 60 LAG() & LEAD()

Section 8: CONCLUSION

Lecture 61 Final Word

Lecture 62 Demo of Gen AI tools

Lecture 63 Dataset websites

Aspiring Data Analysts who want to build strong SQL skills for querying and analyzing datasets in any industry.,Business Analysts, Financial Analysts, and Marketing Analysts looking to move beyond spreadsheets and work directly with databases.,Students and graduates aiming to enter data-driven careers and stand out in job interviews with proven SQL expertise.,Developers, Data Engineers, and BI Professionals who want to strengthen their database querying and reporting abilities.,Anyone interested in data analysis who wants to learn how to extract insights from real-world datasets using SQL — no prior experience required.