Databases: Relational Databases and SQL from edX

About the Database Series of Courses

"Databases" was one of Stanford's three inaugural massive open online courses in the fall of 2011. It has been offered in synchronous and then in self-paced versions on a variety of platforms continuously since 2011. The material is now being offered as a set of five self-paced courses, which can be taken in a variety of ways to learn about different aspects of databases.

Relational Databases and SQL is the most popular course in the Databases series. It is applicable to learners seeking to gain a strong understanding of relational databases, and to master SQL, the long-accepted standard query language for relational database systems. Additional courses focus on advanced concepts in relational databases and SQL, formal foundations and database design methodologies, and semistructured data.

All of the courses are based around video lectures and demos. Many of them include quizzes between video segments to check understanding, in-depth standalone quizzes, and/or a variety of automatically-checked interactive exercises. Each course also includes an unmoderated discussion forum and pointers to readings and resources. The courses are described briefly below. Taught by Professor Jennifer Widom, the overall curriculum draws from Stanford's popular longstanding Databases course.

Why Learn About Databases

Databases are incredibly prevalent -- they underlie technology used by most people every day if not every hour. Databases reside behind a huge number 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.

What you'll learn

Stanford's online offering in Databases is now available as a set of five self-paced courses:

Databases: Relational Databases and SQL

Introduction to the relational model and concepts in relational databases and relational database management systems
Comprehensive coverage of SQL, the long-accepted standard query language for relational database management systems

Databases: Advanced Topics in SQL (prerequisite: Relational Databases and SQL)

Creating indexes for increased query performance
Using transactions for concurrency control and failure recovery
Database constraints: key, referential integrity, and "check" constraints
Database triggers
How views are created, used, and updated in relational databases
Authorization in relational databases

Databases: OLAP and Recursion

Star schemas, the data cube concept, and On-Line Analytical Processing (OLAP) features in relational databases including the Cube and Rollup operators
The SQL standard for queries over recursively-defined relations

Databases: Modeling and Theory

Relational algebra – the algebraic query language that provides the formal foundations of SQL
Dependency theory and normal forms in relational databases as the basis of schema design
The data-modeling component of the Unified Modeling Language (UML), how UML diagrams are translated to relations

Databases: Semistructured Data

The XML model for semistructured and self-describing data, including DTDs and some features of XML Schema
The JSON model for human-readable structured or semistructured data
The XPath language for processing XML data, and many features of the more advanced XQuery language
An introduction to the XSLT rule-based language for querying and transforming XML data

What's inside

Learning objectives

Introduction to the relational model and concepts in relational databases and relational database management systems
Comprehensive coverage of sql, the long-accepted standard query language for relational database management systems
Creating indexes for increased query performance
Using transactions for concurrency control and failure recovery
Database constraints: key, referential integrity, and "check" constraints
Database triggers
How views are created, used, and updated in relational databases
Authorization in relational databases
Star schemas, the data cube concept, and on-line analytical processing (olap) features in relational databases including the cube and rollup operators

The sql standard for queries over recursively-defined relations
Relational algebra – the algebraic query language that provides the formal foundations of sql
Dependency theory and normal forms in relational databases as the basis of schema design
The data-modeling component of the unified modeling language (uml), how uml diagrams are translated to relations
The xml model for semistructured and self-describing data, including dtds and some features of xml schema
The json model for human-readable structured or semistructured data
The xpath language for processing xml data, and many features of the more advanced xquery language
An introduction to the xslt rule-based language for querying and transforming xml data

Introduction to the relational model and concepts in relational databases and relational database management systems
Comprehensive coverage of sql, the long-accepted standard query language for relational database management systems
Creating indexes for increased query performance
Using transactions for concurrency control and failure recovery
Database constraints: key, referential integrity, and "check" constraints
Database triggers
How views are created, used, and updated in relational databases
Authorization in relational databases
Star schemas, the data cube concept, and on-line analytical processing (olap) features in relational databases including the cube and rollup operators
The sql standard for queries over recursively-defined relations
Relational algebra – the algebraic query language that provides the formal foundations of sql
Dependency theory and normal forms in relational databases as the basis of schema design
The data-modeling component of the unified modeling language (uml), how uml diagrams are translated to relations
The xml model for semistructured and self-describing data, including dtds and some features of xml schema
The json model for human-readable structured or semistructured data
The xpath language for processing xml data, and many features of the more advanced xquery language
An introduction to the xslt rule-based language for querying and transforming xml data

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a comprehensive foundation for relational databases and SQL, making it suitable for beginners in the field

Covers essential concepts for relational databases, including data modeling, query optimization, and concurrency control

Led by Professor Jennifer Widom, an expert in database systems with a strong reputation in the field

Emphasizes hands-on learning through quizzes, exercises, and interactive materials

Part of a series of courses on databases, which provides a comprehensive learning journey in the field

Requires no previous knowledge of databases, making it accessible to beginners in the field

Reviews summary

A strong foundation in relational databases and sql

According to learners, this course provides an excellent foundational understanding of relational databases and offers comprehensive coverage of SQL. Students consistently praise Professor Jennifer Widom's exceptional teaching style, noting her ability to explain complex topics with clarity and present a well-structured curriculum. The course's hands-on exercises and interactive components are frequently highlighted as highly beneficial for solidifying learning. While some learners found the pacing potentially fast for absolute beginners or desired more challenging, real-world practical cases, the majority agree it is a highly relevant and practical course for professionals seeking to master database fundamentals.

Interactive exercises and demonstrations are highly effective for hands-on learning.

"The hands-on exercises and quizzes truly solidified my understanding."

"The interactive components are a big plus, allowing you to practice immediately."

"The theory is well-explained, and the practical exercises are thoughtfully designed. I found them super practical."

The course provides comprehensive and systematic coverage of SQL and relational concepts.

"Absolutely fantastic introduction to relational databases and SQL."

"This course provided a comprehensive deep dive into SQL. I appreciated the logical flow from basic to more complex queries."

"It starts with the basics and builds up systematically. The content is evergreen and foundational, making it relevant even years later."

Professor Widom's teaching is consistently praised for clarity and expertise.

"Professor Widom is an exceptional instructor, making complex topics incredibly clear and easy to grasp."

"Professor Widom's teaching style is simply the best. She breaks down SQL and relational concepts into digestible pieces."

"Professor Widom is a legend. Her ability to explain complex database concepts and SQL queries is unparalleled."

Some learners wished for more advanced or modern real-world case studies.

"My main suggestion would be to incorporate more challenging, real-world case studies for the SQL practice, beyond just the basic problems."

"I felt it focused too much on theoretical aspects without enough practical application in a modern database environment."

"It's a decent starting point but I might need supplementary material to fully grasp everything."

Pacing can be an issue, potentially too fast for novices or slow for those with experience.

"Honestly, I struggled with this course. I felt the lectures moved too fast at times, especially for someone completely new to databases."

"My only minor critique is that some of the earlier content felt a bit slow-paced if you had any prior exposure, but it quickly picked up."

"I found some explanations could be a bit dry, and the interactive exercises weren't always enough to fully reinforce every concept."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Databases: Relational Databases and SQL with these activities:

Review 'Database Systems: The Complete Book'

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Gain a comprehensive understanding of database systems concepts by delving into this authoritative text.

View Database Systems: The Complete Book on Amazon

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Acquire a copy of the book
Allocate time for reading and comprehending key chapters
Take notes and highlight important concepts

Compile a Database Resource Collection

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Organize and gather valuable resources to enhance your database knowledge, serving as a reference for future use.

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Identify and gather relevant books, articles, and online materials
Create a central repository for your collection, such as a digital library or notebook
Organize materials by topic and accessibility

Solve SQL Practice Problems

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Sharpen your SQL skills by tackling a variety of practice problems, improving your problem-solving abilities.

Browse courses on SQL

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Find online platforms or resources that offer SQL practice problems
Allocate time to regularly solve these problems
Analyze your solutions and identify areas for improvement

Five other activities

Expand to see all activities and additional details

Show all eight activities

Design a Relational Database Schema

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Put your understanding of database design principles into practice by creating a well-normalized and efficient schema.

Browse courses on Relational Databases

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Identify the real-world entities and relationships to be represented
Apply normalization techniques to eliminate redundancy and improve data integrity
Create a visual representation of your schema using a modeling tool or diagram

Attend a SQL Workshop

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Immerse yourself in a hands-on environment to practice and refine your SQL skills, solidifying your understanding.

Browse courses on SQL

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Register for a workshop led by experienced SQL professionals
Actively participate in hands-on exercises and discussions
Seek guidance and feedback from instructors

Join a Database Study Group

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Connect with fellow learners, exchange ideas, and reinforce your understanding through collaborative discussions.

Browse courses on Databases

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Identify or create a study group with classmates or online communities
Set regular meeting times and establish a study schedule
Actively participate in discussions and share knowledge

Follow Advanced SQL Tutorials

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Seek out expert-led tutorials to delve deeper into advanced SQL concepts, expanding your proficiency.

Browse courses on SQL

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Identify reputable online platforms or instructors offering advanced SQL tutorials
Dedicate time to following the tutorials and practicing the techniques
Implement your newfound skills in your own SQL queries and projects

Build a Personal Database Management System

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Test your skills and apply your knowledge by creating a functional database management system from scratch.

Browse courses on Database Management Systems

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Choose a programming language and database technology
Design and implement the database schema and tables
Develop user interface and functionality for data manipulation

Career center

Learners who complete Databases: Relational Databases and SQL will develop knowledge and skills that may be useful to these careers:

Database Developer

A Database Developer designs and develops databases and database applications. They work closely with other professionals to ensure that databases meet the needs of the organization. The Databases: Relational Databases and SQL course from Stanford University provides a comprehensive foundation for aspiring Database Developers, as it covers topics such as data modeling, query optimization, and database security. These skills are essential for designing and developing databases and database applications.

See salaries and explore the career path for Database Developer

Data Analyst

A Data Analyst collects, cleans, and analyzes data to extract meaningful insights and trends. They use statistical and programming tools to identify patterns and develop data-driven recommendations. The Databases: Relational Databases and SQL course from Stanford University provides a strong foundation for this role by teaching students how to manage and query relational databases, which are commonly used for storing and analyzing data. The course also covers data modeling and query optimization, which are essential skills for Data Analysts.

See salaries and explore the career path for Data Analyst

Data Engineer

A Data Engineer designs, builds, and maintains data pipelines and infrastructure. They work closely with Data Scientists and other professionals to ensure that data is available, reliable, and accessible for analysis. The Databases: Relational Databases and SQL course from Stanford University provides a solid foundation for aspiring Data Engineers, as it covers topics such as data modeling, query optimization, and database security. These skills are essential for designing and managing data pipelines and infrastructure.

See salaries and explore the career path for Data Engineer

Business Analyst

A Business Analyst gathers and analyzes business requirements to identify opportunities for improvement. They work with stakeholders to develop and implement solutions that meet the needs of the organization. The Databases: Relational Databases and SQL course from Stanford University provides a strong foundation for aspiring Business Analysts, as it teaches students how to manage and query relational databases, which are commonly used for storing and analyzing business data. The course also covers data modeling and query optimization, which are essential skills for working with data in business analysis.

See salaries and explore the career path for Business Analyst

Data Librarian

A Data Librarian manages and curates data assets within an organization. They work with stakeholders to identify, acquire, and organize data, and ensure that it is accessible and usable by authorized users. The Databases: Relational Databases and SQL course from Stanford University provides a solid foundation for aspiring Data Librarians, as it covers topics such as data modeling, query optimization, and database security. These skills are essential for managing and curating data assets.

See salaries and explore the career path for Data Librarian

Database Administrator

A Database Administrator maintains and ensures the health of an organization's databases, including relational databases. They plan the setup and implementation of databases, optimize queries and performance, manage user access, and back up and restore data. The Databases: Relational Databases and SQL course from Stanford University may be useful for preparing for this role, as it provides a comprehensive foundation in relational databases and SQL, the standard query language for relational databases. This course covers topics such as data modeling, query optimization, and database security, which are all essential skills for a Database Administrator.

See salaries and explore the career path for Database Administrator

Chief Data Officer

A Chief Data Officer oversees an organization's data strategy and operations. They work with stakeholders to develop and implement data policies and procedures, and ensure that the organization is using data to its full potential. The Databases: Relational Databases and SQL course from Stanford University may be useful for aspiring Chief Data Officers, as it provides a foundation in relational databases and SQL, which are commonly used for storing and managing data. The course also covers data modeling and query optimization, which are essential skills for working with data in a strategic role.

See salaries and explore the career path for Chief Data Officer

Data Scientist

A Data Scientist uses advanced statistical and machine learning techniques to extract insights from data and develop predictive models. They collaborate with other professionals to solve complex business problems and make data-driven decisions. The Databases: Relational Databases and SQL course from Stanford University may be useful for aspiring Data Scientists, as it provides a foundation in relational databases and SQL, which are commonly used for storing and managing data. The course also covers data modeling and query optimization, which are essential skills for working with data.

See salaries and explore the career path for Data Scientist

Information Architect

An Information Architect designs and organizes information systems to ensure that they meet the needs of users. They work with stakeholders to gather requirements, develop taxonomies and metadata, and design user interfaces. The Databases: Relational Databases and SQL course from Stanford University may be useful for aspiring Information Architects, as it provides a foundation in relational databases and SQL, which are commonly used for storing and managing data in information systems. The course also covers data modeling and query optimization, which are essential skills for working with data in information architecture.

See salaries and explore the career path for Information Architect

Data Protection Officer

A Data Protection Officer oversees an organization's compliance with data protection regulations and best practices. They work with stakeholders to develop and implement data protection policies and procedures, and ensure that the organization is prepared for data breaches and other security incidents. The Databases: Relational Databases and SQL course from Stanford University may be useful for aspiring Data Protection Officers, as it provides a foundation in relational databases and SQL, which are commonly used for storing and managing personal data. The course also covers database security and data protection best practices, which are essential for ensuring compliance with data protection regulations.

See salaries and explore the career path for Data Protection Officer

Privacy Analyst

A Privacy Analyst assesses and mitigates privacy risks within an organization. They work with stakeholders to develop and implement privacy policies and procedures, and ensure that the organization is compliant with privacy regulations. The Databases: Relational Databases and SQL course from Stanford University may be useful for aspiring Privacy Analysts, as it provides a foundation in relational databases and SQL, which are commonly used for storing and managing personal data. The course also covers database security and privacy best practices, which are essential for ensuring compliance with privacy regulations.

See salaries and explore the career path for Privacy Analyst

Security Analyst

A Security Analyst monitors and analyzes security events to identify and mitigate threats to an organization's information systems. They work with stakeholders to develop and implement security policies and procedures, and ensure that the organization is prepared for cyber attacks and other security incidents. The Databases: Relational Databases and SQL course from Stanford University may be useful for aspiring Security Analysts, as it provides a foundation in relational databases and SQL, which are commonly used for storing and managing security data. The course also covers database security and best practices, which are essential for ensuring the security of information systems.

See salaries and explore the career path for Security Analyst

Forensic Analyst

A Forensic Analyst collects and analyzes digital evidence to investigate and prosecute crimes. They work with law enforcement and other stakeholders to identify and preserve evidence, and provide expert testimony in court. The Databases: Relational Databases and SQL course from Stanford University may be useful for aspiring Forensic Analysts, as it provides a foundation in relational databases and SQL, which are commonly used for storing and managing digital evidence. The course also covers database security and best practices, which are essential for ensuring the integrity of digital evidence.

See salaries and explore the career path for Forensic Analyst

Information Security Manager

An Information Security Manager oversees an organization's information security program. They work with stakeholders to develop and implement security policies and procedures, and ensure that the organization is prepared for cyber attacks and other security incidents. The Databases: Relational Databases and SQL course from Stanford University may be useful for aspiring Information Security Managers, as it provides a foundation in relational databases and SQL, which are commonly used for storing and managing security data. The course also covers database security and best practices, which are essential for ensuring the security of information systems.

See salaries and explore the career path for Information Security Manager

Software Engineer

A Software Engineer designs, develops, and maintains software applications. They work on all aspects of the software development lifecycle, from requirements gathering to testing and deployment. The Databases: Relational Databases and SQL course from Stanford University may be useful for aspiring Software Engineers, as it provides a foundation in relational databases and SQL, which are commonly used for storing and managing data in software applications. The course also covers data modeling and query optimization, which are essential skills for working with data in software development.

See salaries and explore the career path for Software Engineer