What will you in SQL – Introduction to SQL with MySQL Course
- Install and configure MySQL Server and MySQL Workbench (or alternative GUI tools)
- Write core SQL commands:
SELECT,INSERT,UPDATE, andDELETE - Filter and sort query results using
WHERE,ORDER BY,LIMIT, and pattern matching (LIKE,IN)
- Aggregate data with
GROUP BY,HAVING, and functions likeCOUNT,SUM,AVG,MIN,MAX - Design basic relational schemas and perform joins (INNER, LEFT, RIGHT, FULL)
Program Overview
Module 1: MySQL Setup & Basics
30 minutes
-
Installing MySQL Server and Workbench, creating your first database
-
Introduction to the MySQL command-line client and GUI tools
Module 2: Retrieving Data with SELECT
45 minutes
-
Basic
SELECTstatements, column aliases, and limiting results -
Filtering with
WHERE, logical operators, and pattern matching
Module 3: Sorting & Pagination
30 minutes
-
Using
ORDER BYfor ascending/descending sort -
Implementing pagination with
LIMITandOFFSET
Module 4: Aggregate Functions & Grouping
1 hour
-
Summarizing data using
COUNT,SUM,AVG,MIN,MAX -
Grouping results with
GROUP BYand filtering groups withHAVING
Module 5: Data Modification Statements
45 minutes
-
Inserting new records with
INSERT(single-row and bulk) -
Updating existing data with
UPDATEand removing rows withDELETE
Module 6: Schema Design & Joins
1 hour
-
Creating tables with
CREATE TABLE, defining primary and foreign keys -
Combining tables using INNER, LEFT, RIGHT, and FULL OUTER joins
Module 7: Subqueries & Views
45 minutes
-
Writing subqueries in
SELECT,FROM, andWHEREclauses -
Creating and querying views for reusable logic
Module 8: Indexing & Performance Tips
30 minutes
-
Understanding indexes and when to use them
-
Using
EXPLAINto analyze query plans and optimize performance
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Job Outlook
- MySQL skills are fundamental for roles such as Database Developer, Backend Engineer, and Data Analyst
- Widely used in web development stacks (LAMP/LEMP) across startups and enterprises
- Provides a foundation for working with other relational systems (PostgreSQL, SQL Server)
- Supports career growth into database administration, data engineering, and full-stack development
Explore More Learning Paths
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