SQL Tutorial [MySQL] for BEGINNERS in under ONE hour

Опубликовано: 16 Июль 2026
на канале: Algovibes
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Hi everyone,
as I was using SQL in many of my Python videos as a way of storing and working with data I thought it would be nice to have a Full Beginner tutorial on SQL syntax, querying but also setting up a DataBase properly.

Installation guide:
https://www.simplilearn.com/tutorials...

Videos on Python & SQL
-----------------------------------------
Backtesting a large amount of stocks:
   • Backtesting Rayner Teos 1689% Bollinger Ba...  

Set up a Finance Database using Python & SQL:
   • Create your own Finance DataBase with Pyth...  

Trading Strategy using Python & SQL:
   • Trading strategy and Backtest with Python ...  

Build a whole Stock recommendation system using Python & MySQL:
   • Stock recommendation system with Python/SQL  

Also I am leveraging SQL in my Cryptocurrency Tradingbots, check out
the videos here:
   • Stock recommendation system with Python/SQL  

Let me know if you need anything else!

00:00 - 01:54 Intro / Why SQL / Prerequisites
01:54 - 02:28 MySQL Workbench Orientation
02:28 - 04:22 Language properties / Create Database or Schema
04:22 - 07:00 Create Table
07:00 - 08:14 First query: SELECT
08:14 - 09:58 Insert Data
09:58 - 10:33 Pulling single columns
10:33 - 12:52 Inserting multiple rows
12:52 - 14:25 Filtering data / WHERE
14:25 - 16:40 UPDATE/(correct) values
16:40 - 17:59 DELETE
17:59 - 19:46 Aggregation functions
19:46 - 20:38 GROUP BY
20:38 - 23:08 Creating a second table (to bring two tables together)
23:08 - 24:04 Combining tables (JOINS)
24:04 - 28:52 INNER JOIN (including Aliasing)
28:52 - 30:05 LEFT JOIN
30:05 - 31:34 RIGHT JOIN ( good to understand the JOIN concept)
31:34 - 31:51 MAKING IT PROFESSIONAL
31:51 - 39:29 PRIMARY KEY 🔑 and Database Design
39:39 - 44:14 FOREIGN KEY 🔑 and why they are important
44:14 - 45:52 Intermediate SQL Query Task - Try it yourself!
45:52 - 50:24 Solution: Keys, Joins, Alias, Group by, (Order by)
50:24 - 50:56 UP NEXT

#sql #mysql #tutorial #database #datascience #analytics