Learners will apply, design, and analyze relational databases using MySQL through a complete, project-based learning experience. By the end of this course, learners will be able to build structured databases, implement keys and constraints, populate tables with data, and write analytical SQL queries to extract meaningful insights.
This course guides learners step by step through a real-world MySQL project, starting with environment setup and database planning, followed by table creation, relationship management, and multi-table design. Learners will practice inserting and managing data efficiently and progress to writing complex queries using filtering conditions and aggregate functions. Each concept is reinforced through hands-on implementation rather than isolated theory.
What makes this course unique is its end-to-end project focus. Instead of learning SQL commands in isolation, learners experience how MySQL is used in practical scenarios that mirror industry workflows. This approach helps bridge the gap between theoretical knowledge and job-ready database skills, making the course ideal for learners who want practical MySQL experience they can confidently apply in real projects.
This module introduces learners to a hands-on MySQL project, focusing on environment setup, database planning, table creation, and the implementation of keys and relationships to build a well-structured and normalized relational database.
涵盖的内容
9个视频4个作业
显示有关单元内容的信息
9个视频•总计87分钟
MySQL Project Overview & Setup•3分钟
Connecting to MySQL & Project Planning•11分钟
Creating Tables with Constraints•13分钟
Altering Tables & Managing Keys•11分钟
Departments Table Design•12分钟
Inserting Data into Tables•9分钟
Using Primary & Unique Constraints•12分钟
Job History Table Creation•8分钟
Writing Queries with Foreign Keys•8分钟
4个作业•总计60分钟
Graded-MySQL Database Design & Setup•30分钟
Project Initialization & Planning•10分钟
Table Modification & Core Structures•10分钟
Keys, History & Relationships•10分钟
Data Population & Querying
第 2 单元•小时 后完成
单元详情
This module focuses on populating MySQL tables with data, managing multi-table structures, and performing data analysis using SQL queries, filtering conditions, and aggregate functions to extract meaningful insights.
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