Database Basics: Practical Foundations for Organizing and Using Data
Learn how databases work, how to model data, and how to write the core SQL you need to store, query, and manage information confidently.
Database Basics: Practical Foundations for Organizing and Using Data is a practical introduction to the structure, storage, and querying of information in modern systems. Designed for learners in Data & Analytics, this course helps you build confidence with the core ideas behind databases so you can work with data more effectively in everyday projects.
Build Your Data Skills With Database Basics
- Learn how databases support reliable Data & Analytics workflows across real-world applications
- Learn how databases work, how to model data, and how to write the core SQL you need to store, query, and manage information confidently.
- Understand Database Basics through tables, keys, relationships, and schema design
- Gain hands-on practice with SQL queries, joins, aggregations, and data validation
Learn how databases work, how to model data, and how to write the core SQL you need to store, query, and manage information confidently.
This course starts with the foundation of database systems, explaining what a database is, why it matters, and how relational structure organizes information into tables, rows, and columns. You will also learn how primary keys, unique identifiers, and foreign keys help keep data connected, accurate, and easy to maintain.
As you move into SQL Essentials, you will practice selecting, filtering, sorting, limiting, and de-duplicating results, then progress to joining tables and summarizing data with GROUP BY. These skills are essential for working with Data & Analytics tasks because they let you retrieve useful information from complex datasets and turn raw records into clear answers.
The course also covers common data types, NULL handling, dates, and text fields, along with constraints and validation techniques that protect data quality. You will explore normalization, indexes, and performance basics so you understand how better design improves both storage and query speed.
By the end, you will be able to read existing schemas, create a simple database schema, and build a small real-world query set with confidence. You will finish with a stronger grasp of Database Basics and a practical foundation that helps you think clearly about data, ask better questions, and work more effectively with databases in real projects.
Full lesson breakdown
Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.
Database Fundamentals
1 lesson
Relational Structure
1 lesson
Core Data Integrity
1 lesson
Connecting Data
1 lesson
SQL Essentials
1 lesson
Query Basics
1 lesson
Refining Output
1 lesson
Working Across Tables
1 lesson
Summaries and Metrics
1 lesson
Common Data Types
1 lesson
Protecting Data Quality
1 lesson
Designing Better Tables
1 lesson
Performance Basics
1 lesson
Putting Design into Practice
1 lesson
Working with Real Databases
1 lesson
Applied SQL Practice
1 lesson
Avoiding Problems
1 lesson
Professor Mark Davis
Professor Mark Davis guides this AI-built Virversity course with a clear, practical teaching style.