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From the blog

The Future of Navigation: Beyond the Top Nav + Hero Pattern

Why standard layouts are losing effectiveness The classic top nav + hero works for simple marketing pages, but it struggles […]

Read More

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Features

Step-by-step SQL learning with hands-on queries
Real-world data patterns: users, orders, products
Deep coverage of joins, grouping, subqueries, and window functions (intro)
Database design essentials: normalization, keys, constraints
Practical MySQL topics: indexes, EXPLAIN, transactions, locks
Admin basics: users/roles, backups, imports/exports
Mini project: design + implement a small database with reporting queries

Target audiences

Beginners who want to learn SQL + MySQL from scratch
Backend developers needing stronger database skills
Data analysts who want to query structured data confidently
QA engineers writing database checks and test queries
Product/ops roles working with metrics and relational data

Requirements

Basic computer skills and comfort using a terminal or GUI tool
No prior SQL required (helpful if you know basic data concepts)
A MySQL environment (local install, Docker, or managed instance)
Recommended tools: MySQL Workbench or DBeaver, plus a code editor

Curriculum

4 Sections
16 Lessons
10 Weeks

Expand all sectionsCollapse all sections

Module 1 — MySQL & SQL Foundations
A relational database stores data in tables with rows and columns, and relates tables using keys. SQL is the language used to define, query, and manage that data. MySQL is a popular relational database system used in web apps, SaaS products, and internal tools.
5
Module 2 — Querying Like a Pro (Filtering, Joins, Aggregation)
This lesson teaches filtering and sorting: the skills you use in almost every query. You’ll learn common operators and patterns for paging results.
5
Module 3 — Database Design, Integrity, and Transactions
Normalization reduces duplication and prevents update anomalies. You’ll learn how to split data into well-structured tables while still keeping querying practical.
5
Module 4 — Performance, Administration, and Advanced Patterns
Indexes speed up reads by allowing MySQL to find rows without scanning entire tables. You’ll learn the basics of B-tree indexes, what to index, and common mistakes (like indexing everything)
5

FAQs

Is MySQL the same as SQL?

SQL is the language; MySQL is a database system that implements SQL (with some MySQL-specific features and syntax).

Do I need to memorize all SQL commands?

No—focus on patterns: SELECT filtering, joins, grouping, and basic DDL. With practice, the rest becomes searchable and intuitive.

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When should I add indexes?

After you know your real query patterns. Indexing too early (or too much) can hurt write performance and complicate maintenance.

Do I need stored procedures to build apps?

Not always. Many apps keep logic in application code. Procedures help for shared logic, performance, and standardization, but they add complexity.

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Free

Student:

0 Students

Lesson:

16 Lessons

Duration: 10 Weeks

Quiz:

4 Quizzes

Level: All levels

Featured Review

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