Introduction to Databases (Coursera)

Offered by Stanford University,
Introduction to Databases (Coursera)

This course covers database design and the use of database management systems for applications.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

"Introduction to Databases" had a very successful public offering in fall 2011, as one of Stanford's inaugural three massive open online courses. Since then, the course materials have been improved and expanded, and all materials are available for self-study. Students have access to lectures with in-video quizzes, multiple-choice quiz assignments, automatically-checked interactive programming exercises, midterm and final exams, a discussion forum, optional additional exercises with solutions, and pointers to readings and resources. Taught by Professor Jennifer Widom, the curriculum draws from Stanford's popular Introduction to Databases course. The material presented here is the same as the corresponding material presented on Stanford's Class2Go platform.

Databases are incredibly prevalent -- they underlie technology used by most people every day if not every hour. Databases reside behind a huge fraction of websites; they're a crucial component of telecommunications systems, banking systems, video games, and just about any other software system or electronic device that maintains some amount of persistent information. In addition to persistence, database systems provide a number of other properties that make them exceptionally useful and convenient: reliability, efficiency, scalability, concurrency control, data abstractions, and high-level query languages. Databases are so ubiquitous and important that computer science graduates frequently cite their database class as the one most useful to them in their industry or graduate-school careers.

This course covers database design and the use of database management systems for applications. It includes extensive coverage of the relational model, relational algebra, and SQL. It also covers XML data including DTDs and XML Schema for validation, and the query and transformation languages XPath, XQuery, and XSLT. The course includes database design in UML, and relational design principles based on dependencies and normal forms. Many additional key database topics from the design and application-building perspective are also covered: indexes, views, transactions, authorization, integrity constraints, triggers, on-line analytical processing (OLAP), JSON, and emerging "NoSQL" systems.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to NoSQL Databases (Coursera) Coursera
IBM

Introduction to NoSQL Databases (Coursera)

This course will provide you with technical hands-on knowledge of NoSQL databases and Database-as-a-Service (DaaS) offerings. With the advent of Big Data and agile development methodologies, NoSQL databases have gained a lot of relevance in the database landscape. Their main advantage is the ability to effectively handle scalability and flexibility issues raised by modern applications.

Aug 10th 2026
5-12 Weeks
Web Application Technologies and Django (Coursera) Coursera
University of Michigan

Web Application Technologies and Django (Coursera)

In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the Hypertext Transfer Protocol (HTTP) request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the overall structure of a Django application.

Jul 27th 2026
5-12 Weeks
Foundations of marketing analytics (Coursera) Coursera
ESSEC Business School

Foundations of marketing analytics (Coursera)

Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role, in particular in marketing. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.

Jul 27th 2026
5-12 Weeks
AWS Cloud Practitioner Essentials (Coursera) Coursera
AWS

AWS Cloud Practitioner Essentials (Coursera)

Welcome to AWS Cloud Practitioner Essentials. If you’re new to the cloud, whether you’re in a technical or non-technical role such as finance, legal, sales, marketing, this course will provide you with an understand of fundamental AWS Cloud concepts to help you gain confidence to contribute to your organization’s cloud initiatives. This course is also the starting point to prepare for your AWS Certified Cloud Practitioner certification whenever it’s convenient for you.

Aug 10th 2026
5-12 Weeks
Cloud Computing Concepts: Part 2 (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Computing Concepts: Part 2 (Coursera)

Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies—all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing. Some of these concepts include: Clouds, MapReduce, key-value stores, Classical precursors, Widely-used algorithms, Classical algorithms, Scalability, Trending areas, And more!

Jul 27th 2026
5-12 Weeks
Introduction to Blockchain for Financial Services (Coursera) Coursera
INSEAD

Introduction to Blockchain for Financial Services (Coursera)

In this first course of the specialization, we will discuss the limitations of the Internet for business and economic activity, and explain how blockchain technology represents the way forward. After completing this course, you will be able to explain what blockchain is, how it works, and why it is revolutionary. You will learn key concepts such as mining, hashing, proof-of-work, public key cryptography, and the double-spend problem.

Jul 27th 2026
5-12 Weeks