The Structured Query Language (SQL)

In this course you will learn all about the Structured Query Language ("SQL".) We will review the origins of the language and its conceptual foundations. But primarily, we will focus on learning all the standard SQL commands, their syntax, and how to use these commands to conduct analysis of the data within a relational database. Our scope includes not only the SELECT statement for retrieving data and creating analytical reports, but also includes the DDL ("Data Definition Language") and DML ("Data Manipulation Language") commands necessary to create and maintain database objects.

The Structured Query Language (SQL) can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

What's inside

Syllabus

Introduction to SQL - Structured Query Language

The origins of SQL, what it is and how it works.

The Basic SELECT Statement

The SELECT statement - retrieving data from your database.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a solid foundation in SQL, a fundamental programming language in data science

Ideal for learners seeking a comprehensive understanding of data analysis and retrieval

Empowers learners to work with relational databases confidently

Course aligns with industry standards, making it highly relevant for career advancement

Taught by experienced instructors from the University of Colorado Boulder, ensuring high-quality content

May require additional prerequisites for learners with no prior experience in SQL or data science

Reviews summary

Foundational sql for data professionals

According to learners, this course offers a solid and comprehensive foundation in SQL, making it highly beneficial for beginners and those aiming for data science or analytics careers. Students frequently highlight the clarity of the instructor's explanations and the effectiveness of hands-on labs and practical exercises for solidifying understanding. While many find the content highly applicable for professional use, some more experienced learners note that certain advanced topics could be explored in greater depth. Overall, it's considered an excellent starting point for mastering the language, with recent reviews suggesting ongoing course improvements.

Comprehensive for beginners, but might lack advanced depth for seasoned practitioners.

"While comprehensive for beginners, I found some of the advanced topics could have been explored in more depth."

"It's a good starting point, but don't expect to become an expert solely from this course."

"I felt the course provided the necessary syntax, but not much on optimization or highly advanced techniques."

Recent updates have addressed previous feedback, enhancing the learning experience.

"I had some prior experience but wanted a structured approach. This course delivered! The updated content and additional examples really shine."

"It's great to see that feedback was incorporated; the recent modules are much more polished and detailed than older versions."

"The course has definitely improved, addressing earlier concerns about pacing and depth in certain sections, making it a better experience now."

The instructor presents complex topics in an engaging and easy-to-understand manner.

"...the instructor explains complex concepts clearly. I especially liked the sections on DDL and DML – they made database management feel accessible."

"The instructor's clear voice and detailed explanations made learning SQL less intimidating."

"The explanations for `GROUP BY` and aggregate functions were particularly lucid, making complex topics understandable."

Features effective labs for applying SQL commands directly.

"The hands-on labs are incredibly useful, and the instructor explains complex concepts clearly."

"The practical exercises were the highlight, helping me immediately apply what I learned to work."

"The hands-on coding and projects are the strongest part of the course for me, solidifying understanding."

Excellent for building a robust SQL foundation for new learners.

"As a complete beginner to databases, this course was a lifesaver. Everything was broken down into manageable chunks."

"This course is fantastic for building a strong SQL foundation... Highly recommend for data science aspirants!"

"I gained a solid foundation from completing this course, feeling confident with basic to intermediate queries."

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 The Structured Query Language (SQL) with these activities:

Review Database Concepts

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Ensure a solid foundation by reviewing fundamental database concepts, data structures, and normalization techniques before delving into SQL.

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Revisit your notes or textbooks on database concepts
Review online tutorials or articles on database fundamentals

Review SQL Basics

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Refresh your SQL fundamentals to strengthen comprehension and avoid potential confusion as you begin learning advanced concepts.

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Review the basic syntax of SQL queries
Practice writing simple SELECT, INSERT, UPDATE, and DELETE statements

Interactive SQL Tutorial

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Deepen your understanding of SQL concepts and syntax through interactive tutorials, providing hands-on practice and immediate feedback.

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Follow the step-by-step instructions provided in the tutorial
Complete code snippets and exercises within the interactive interface
Review the explanations and examples provided by the tutorial

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SQL Coding Exercises

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Test and solidify your SQL skills by solving coding exercises, improving your problem-solving abilities and reinforcing key concepts.

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Select a coding platform such as LeetCode or HackerRank
Choose SQL-related coding problems and work through them
Analyze your solutions and identify areas for improvement

Collaborative SQL Problem-Solving Session

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Engage with other learners, share knowledge, and collectively tackle complex SQL problems, fostering teamwork and diverse perspectives.

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Form a study group with your peers
Choose a complex SQL problem or project to work on together
Divide responsibilities and collaborate on solving the problem
Present your solution to the group and discuss alternative approaches

Personal SQL Knowledge Base

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Enhance your understanding and retention by creating a comprehensive knowledge base that summarizes key SQL concepts, techniques, and examples.

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Gather your existing SQL notes and resources
Organize and categorize the information into a cohesive structure
Include examples, diagrams, and snippets to illustrate concepts
Regularly review and update your knowledge base as you progress

Contribute to an Open-Source SQL Project

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Deepen your understanding and contribute to the SQL community by actively participating in open-source projects, gaining firsthand experience in real-world database development.

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Identify open-source SQL projects on platforms like GitHub
Review the project documentation and identify areas to contribute
Fork the project, make your modifications, and submit a pull request
Collaborate with other contributors and the project maintainers

SQL Hackathon

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Challenge yourself in a SQL hackathon, which enables you to apply your skills, collaborate with others, and demonstrate your expertise in a real-world setting.

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Find and register for a SQL hackathon
Form a team or participate individually
Analyze the data provided and identify a problem to solve
Develop and implement your SQL solution
Present your findings and insights to a panel of judges

Career center

Learners who complete The Structured Query Language (SQL) will develop knowledge and skills that may be useful to these careers:

Database Administrator

A Database Administrator is responsible for maintaining and optimizing the performance of databases. They ensure that data is stored and managed efficiently, and that it is secure and accessible to authorized users. This course provides a strong foundation in SQL, the language used to interact with databases, which is essential for Database Administrators to succeed in their role.

See salaries and explore the career path for Database Administrator

Data Analyst

Data Analysts use SQL to extract and analyze data from databases to identify trends and patterns. They use this information to make recommendations and support decision-making. This course provides a comprehensive overview of SQL, including advanced commands and techniques, which can help Data Analysts to effectively gather and analyze data.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use SQL to access and analyze large amounts of data to build predictive models and develop data-driven solutions. This course provides a solid understanding of SQL, which is a fundamental tool for Data Scientists to work with data effectively.

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Business Intelligence Analyst

Business Intelligence Analysts use SQL to extract and analyze data from various sources to gain insights into business performance. They use this information to identify opportunities, solve problems, and support decision-making. This course provides a practical understanding of SQL, which is essential for Business Intelligence Analysts to perform their job effectively.

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Software Engineer

Software Engineers use SQL to design and build databases and data-driven applications. They ensure that data is stored and managed efficiently, and that it is secure and accessible to authorized users. This course provides a solid foundation in SQL, which is essential for Software Engineers to succeed in their role.

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Data Architect

Data Architects design and manage the architecture of databases and data systems. They ensure that data is stored and managed in a way that meets the needs of the organization. This course provides a comprehensive understanding of SQL, which is essential for Data Architects to design and manage data systems effectively.

See salaries and explore the career path for Data Architect

Database Developer

Database Developers use SQL to create and maintain databases and data-driven applications. They ensure that data is stored and managed efficiently, and that it is secure and accessible to authorized users. This course provides a practical understanding of SQL, which is essential for Database Developers to succeed in their role.

See salaries and explore the career path for Database Developer

IT Manager

IT Managers are responsible for the planning, implementation, and management of an organization's IT infrastructure. They ensure that IT systems are running smoothly and efficiently, and that they are secure. This course provides a basic understanding of SQL, which can be useful for IT Managers to oversee and manage data-related systems.

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Information Security Analyst

Information Security Analysts use SQL to analyze security data and identify potential threats and vulnerabilities. They use this information to protect an organization's data and systems from unauthorized access and attacks. This course provides a basic understanding of SQL, which can be useful for Information Security Analysts to perform their job effectively.

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Systems Analyst

Systems Analysts use SQL to design and implement data-driven systems. They ensure that systems meet the needs of the organization and that they are efficient and effective. This course provides a basic understanding of SQL, which can be useful for Systems Analysts to perform their job effectively.

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Web Developer

Web Developers use SQL to create and maintain website databases. They ensure that data is stored and managed efficiently, and that it is secure and accessible to authorized users. This course provides a basic understanding of SQL, which can be useful for Web Developers to perform their job effectively.

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Financial Analyst

Financial Analysts use SQL to analyze financial data and identify trends and patterns. They use this information to make recommendations and support decision-making. This course provides a basic understanding of SQL, which can be useful for Financial Analysts to perform their job effectively.

See salaries and explore the career path for Financial Analyst

Market Researcher

Market Researchers use SQL to analyze market data and identify trends and patterns. They use this information to develop marketing strategies and campaigns. This course provides a basic understanding of SQL, which can be useful for Market Researchers to perform their job effectively.

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Actuary

Actuaries use SQL to analyze insurance data and identify risks and opportunities. They use this information to develop insurance policies and pricing. This course provides a basic understanding of SQL, which can be useful for Actuaries to perform their job effectively.

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Statistician

Statisticians use SQL to analyze data and identify trends and patterns. They use this information to develop statistical models and theories. This course provides a basic understanding of SQL, which can be useful for Statisticians to perform their job effectively.

See salaries and explore the career path for Statistician