Advanced MySQL Course SQL Theory & Real Practice

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Free Download Advanced MySQL Course SQL Theory & Real Practice
Published 12/2025
Created by IT HELPER
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 41m ) | Size: 1.23 GB

Master MySQL with hands-on SQL practice: data types, JOINs, aggregation, subqueries, transactions, database operations.
What you'll learn
Understand SQL fundamentals and how relational databases work
Write MySQL queries using SELECT, JOIN, GROUP BY, UNION, INSERT, UPDATE, CREATE, DROP and subqueries
Apply SQL theory through real-world practice tasks and exercises
Design and structure databases for practical business scenarios
Solve real MySQL challenges and improve problem-solving skills
Build confidence to use SQL in data analysis and development projects
Requirements
No prior SQL or programming experience required - this course is beginner-friendly
A computer with internet access and the ability to install MySQL
Motivation to learn and practice with real tasks
Description
This course contains the use of artificial intelligence.You will learn MySQL through a clear, structured, and highly practical approach. This course covers everything from SQL fundamentals to advanced real-world techniques used by data analysts, backend developers, QA engineers, and database administrators.We start with the basics - understanding what databases are, how SQL works, and how to interact with MySQL using real queries. You will learn all essential SQL concepts such as comparison operators, filtering, sorting, wildcards, logical operators, the IN and BETWEEN operators, and grouping data using GROUP BY.As the course progresses, we go deeper into database logic: JOINS, nested subqueries, data types, and working with date/time functions. You will also explore more advanced topics like transactions, COMMIT/ROLLBACK, savepoints, updating data safely, deleting rows with foreign key constraints, and creating your own database from scratch.This course is highly practical. Every module includes assignments, quizzes, and tasks that require you to write real SQL queries. You will practice SELECT, INSERT, UPDATE, DELETE, and advanced analytical SQL patterns used in real work environments.By the end of the course, you will be able to confidently design, query, and manage relational databases, understand real business scenarios, and apply SQL skills immediately in your job or learning path.Whether you're a beginner or want to strengthen your SQL fundamentals and dive deeper - this course is designed for you.AI Usage DisclosureThis course uses AI-generated voice narration.All lesson content, scripts, explanations, SQL queries, assignments, and instructional materials were fully written, designed, and checked by the instructor. The AI was used only for audio narration, not for generating educational content.
Who this course is for
Beginners who want to learn SQL and MySQL from scratch
Developers and testers searching for practical SQL experience
Data analysts and BI specialists who need stronger query skills
Students preparing for IT or data-related job interviews
Anyone interested in working with databases or analyzing data
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Advanced MySQL Course: SQL Theory & Real Practice
Last updated 11/2025
Duration: 3h 42m | .MP4 1280x720 30fps(r) | AAC, 44100Hz, 2ch | 1.23 GB
Genre: eLearning | Language: English​

Master MySQL with hands-on SQL practice: data types, JOINs, aggregation, subqueries, transactions, database operations.

What you'll learn
- Understand SQL fundamentals and how relational databases work
- Write MySQL queries using SELECT, JOIN, GROUP BY, UNION, INSERT, UPDATE, CREATE, DROP and subqueries
- Apply SQL theory through real-world practice tasks and exercises
- Design and structure databases for practical business scenarios
- Solve real MySQL challenges and improve problem-solving skills
- Build confidence to use SQL in data analysis and development projects

Requirements
- No prior SQL or programming experience required - this course is beginner-friendly
- A computer with internet access and the ability to install MySQL
- Motivation to learn and practice with real tasks

Description
This course contains the use of artificial intelligence.

You will learnMySQLthrough aclear,structured, andhighly practical approach. This course covers everything fromSQL fundamentalstoadvancedreal-worldtechniquesused bydata analysts,backend developers,QA engineers, anddatabase administrators.

Westartwith thebasics-understandingwhatdatabasesare, howSQLworks, and how tointeractwithMySQLusing realqueries. You willlearnall essentialSQL conceptssuch ascomparison operators,filtering,sorting,wildcards,logical operators, theINandBETWEENoperators, andgroupingdatausing GROUP BY.

As the courseprogresses, we godeeperintodatabase logic:JOINS,nested subqueries, data types, and working with date/time functions. You will alsoexploremoreadvancedtopics liketransactions,COMMIT/ROLLBACK,savepoints,updating data safely, deleting rows with foreign key constraints, and creating your own database from scratch.

This course ishighly practical.Every moduleincludesassignments,quizzes, andtasksthatrequireyou towrite real SQL queries. You will practiceSELECT,INSERT,UPDATE,DELETE, andadvanced analytical SQLpatterns used in real work environments.

By the end of thecourse, you will beableto confidentlydesign,query, andmanage relational databases,understand real business scenarios, and applySQL skillsimmediately in yourjoborlearning path.

Whether you're abeginneror want to strengthen yourSQLfundamentals and dive deeper - this course isdesignedforyou.

AI Usage Disclosure

This course usesAI-generated voice narration.All lesson content, scripts, explanations, SQL queries, assignments, and instructional materials were fully written, designed, and checked by the instructor. TheAIwas usedonly for audio narration, not for generating educational content.

Who this course is for:
- Beginners who want to learn SQL and MySQL from scratch
- Developers and testers searching for practical SQL experience
- Data analysts and BI specialists who need stronger query skills
- Students preparing for IT or data-related job interviews
- Anyone interested in working with databases or analyzing data
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