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    Sql For Data Analysis: Beginner To Advanced

    Posted By: ELK1nG
    Sql For Data Analysis: Beginner To Advanced

    Sql For Data Analysis: Beginner To Advanced
    Published 8/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.89 GB | Duration: 5h 58m

    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.