| 1 -CREATE Statement.mp4 | 64.6 MB | ||
| 1 -Final Word.mp4 | 4.7 MB | ||
| 1 -Introduction - Meet the Instructor.mp4 | 12.9 MB | ||
| 1 -Introduction to JOINS.mp4 | 2.8 MB | ||
| 1 -Introduction to SQL Aggregation.mp4 | 5.1 MB | ||
| 1 -Introduction.mp4 | 4.5 MB | ||
| 1 -LinkedIn Profile.url | 102.4 B | ||
| 10 - DATE GROUP BY Practice.html | 614.4 B | ||
| 10 -10.sql | 1 KB | ||
| 10 -CASE Statement.mp4 | 95.4 MB | ||
| 10 -Date GROUP BY Practice.sql | 614.4 B | ||
| 10 -WHERE Clause with Logical Operator 2.mp4 | 2.9 MB | ||
| 11 - CASE Statement Practice.html | 512 B | ||
| 11 -CASE Statement Practice.sql | 409.6 B | ||
| 11 -WHERE Clause with Logical Operator 3.mp4 | 180.6 MB | ||
| 12 -ORDER BY 1.sql | 102.4 B | ||
| 12 -ORDER BY Statement.mp4 | 21 MB | ||
| 13 - ORDER BY practice.html | 1.2 KB | ||
| 13 -ARITHMETIC.mp4 | 30.1 MB | ||
| 13 -Arithmetic.sql | 204.8 B | ||
| 13 -ORDER BY Practice Solution.sql | 307.2 B | ||
| 14 -BASIC SECTION RECAP.mp4 | 6.8 MB | ||
| 2 -2.sql | 307.2 B | ||
| 2 -CREATE and INSERT Statement 1.mp4 | 44.5 MB | ||
| 2 -Database Design.mp4 | 10.3 MB | ||
| 2 -Demo of Gen AI tools.mp4 | 18.2 MB | ||
| 2 -First Subqueries.mp4 | 52.9 MB | ||
| 2 -LEFT & RIGHT.mp4 | 29.6 MB | ||
| 2 -LinkedIn.url | 102.4 B | ||
| 2 -SQL Installation.mp4 | 83.3 MB | ||
| 2 -SQL NULLs.mp4 | 5.7 MB | ||
| 2 -Tiktok.url | 102.4 B | ||
| 2 -Windows Functions.mp4 | 55.9 MB | ||
| 2 -Youtube.url | 102.4 B | ||
| 2 -accounts.sql | 409.6 B | ||
| 2 -region.sql | 102.4 B | ||
| 2 -sales_reps.sql | 307.2 B | ||
| 3 - Dataset websites.html | 1.9 KB | ||
| 3 -3.sql | 614.4 B | ||
| 3 -CHARINDEX & SUBSTRING.mp4 | 88 MB | ||
| 3 -CHARINDEX n SUBSTRING.sql | 204.8 B | ||
| 3 -COUNT.mp4 | 22 MB | ||
| 3 -CREATE and INSERT Statement 2.mp4 | 44.6 MB | ||
| 3 -Case Study Part1 - Business Problems.mp4 | 16.9 MB | ||
| 3 -Count.sql | 307.2 B | ||
| 3 -JOIN Syntax.mp4 | 33.6 MB | ||
| 3 -ROW_NUMBER(), RANK() & DENSE_RANK().mp4 | 69.3 MB | ||
| 3 -Subqueries in Other Clauses.sql | 409.6 B | ||
| 3 -Subqueries in other Clauses.mp4 | 39.5 MB | ||
| 3 -accounts.csv | 28.7 KB | ||
| 3 -region.csv | 0 B | ||
| 3 -sales_reps.csv | 1.2 KB | ||
| 4 - Subqueries Practice.html | 614.4 B | ||
| 4 -4.sql | 1.2 KB | ||
| 4 -Aggregation in Window Function.mp4 | 28.6 MB | ||
| 4 -CONCAT.mp4 | 51.3 MB | ||
| 4 -CREATE and INSERT Statement 3.mp4 | 56.2 MB | ||
| 4 -Case Study Part2 - Understanding the Data.mp4 | 11.6 MB | ||
| 4 -Common Table Expression (CTE).mp4 | 61.2 MB | ||
| 4 -INNER JOIN.mp4 | 130.1 MB | ||
| 4 -Inner Join Example.sql | 409.6 B | ||
| 4 -Inner Join Practice Q.sql | 204.8 B | ||
| 4 -SUM.mp4 | 21.9 MB | ||
| 4 -Subquries Practice.sql | 1.5 KB | ||
| 4 -Sum Example.sql | 102.4 B | ||
| 4 -orders.sql | 682.7 KB | ||
| 4 -web_events.sql | 659.1 KB | ||
| 5 - CTE Practice.html | 819.2 B | ||
| 5 - ORDER BY Practice.html | 1.3 KB | ||
| 5 - SUM Practice.html | 1 KB | ||
| 5 -5.sql | 409.6 B | ||
| 5 -CAST.mp4 | 4.4 MB | ||
| 5 -LAG() & LEAD().mp4 | 65.4 MB | ||
| 5 -LEFT & RIGHT JOINS.mp4 | 95.7 MB | ||
| 5 -Left & Right.sql | 512 B | ||
| 5 -MIN & MAX.mp4 | 31 MB | ||
| 5 -MIN & MAX.sql | 204.8 B | ||
| 5 -SELECT Statement.mp4 | 36 MB | ||
| 5 -SUM practice solution.sql | 409.6 B | ||
| 5 -Temp Table.mp4 | 37.7 MB | ||
| 5 -With CTE Practice.sql | 2.5 KB | ||
| 6 - MIN & MAX Practice.html | 614.4 B | ||
| 6 -AVG QE.sql | 102.4 B | ||
| 6 -AVG.mp4 | 10.9 MB | ||
| 6 -FULL OUTER JOIN.mp4 | 116.1 MB | ||
| 6 -Full Outer Join Example.sql | 102.4 B | ||
| 6 -Full Outer Join Practice.sql | 614.4 B | ||
| 6 -MIN & MAX Practice.sql | 307.2 B | ||
| 6 -TOP Statement.mp4 | 11.9 MB | ||
| 7 - AVG Practice.html | 409.6 B | ||
| 7 -AVG.sql | 204.8 B | ||
| 7 -GROUP BY.mp4 | 52.7 MB | ||
| 7 -GROUP BY.sql | 409.6 B | ||
| 7 -WHERE Clause.mp4 | 20.3 MB | ||
| 8 - GROUP BY Practice.html | 819.2 B | ||
| 8 -GROUP BY Practice.sql | 512 B | ||
| 8 -HAVING.mp4 | 40.8 MB | ||
| 8 -HAVING.sql | 307.2 B | ||
| 8 -WHERE Clause with Comparison Operator.mp4 | 53.9 MB | ||
| 8 -Where clause with comparison operator.sql | 102.4 B | ||
| 9 - HAVING Practice.html | 716.8 B | ||
| 9 -DATE GROUP BY.mp4 | 77.7 MB | ||
| 9 -Date GROUP BY.sql | 716.8 B | ||
| 9 -HAVING.sql | 307.2 B | ||
| 9 -WHERE Clause with Logical Operator 1.mp4 | 134.7 MB | ||
| 9 -Where clause with logical operator 1_1.sql | 204.8 B | ||
| 9 -Where clause with logical operator 1_2.sql | 102.4 B | ||
| 9 -Where clause with logical operator 1_3.sql | 204.8 B | ||
| 9 -Where clause with logical operator 1_4.sql | 102.4 B | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 118 total files | |||
SQL for Data Analysis: Beginner to Advanced
https://WebToolTip.com
Published 8/2025
Created by Yusuf Raheem
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 63 Lectures ( 5h 57m ) | Size: 2.15 GB
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.
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| 1.6 GB | freecoursewb | 3 days | 0 | 0 | |
| 1.3 GB | freecoursewb | 3 days | 0 | 0 | |
| 258.8 MB | freecoursewb | 3 days | 0 | 0 | |
| 3.8 GB | freecoursewb | 1 month | 23 | 3 | |
| 1.7 GB | freecoursewb | 1 month | 16 | 1 |
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