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Introduction to SQL

Jon Flanders

The vast majority of applications that use data, are backed by a good relational database system. This course will help to establish a base to those who want to begin learning Structured Query Language (SQL).

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The vast majority of applications that use data, are backed by a good relational database system. This course will help to establish a base to those who want to begin learning Structured Query Language (SQL).

is a special purpose language for interacting with relational databases.

In this course,

, you will learn the basics of Structured Query Language.

, you will learn how to query data and shape results.

, you will focus on creating and modifying data in your tables.

, you will touch on how actually modify the tables themselves.

By the end of this course, you'll understand the basics of how to create and use a relational database.

SQL is relatively easy to learn. It's a query language, not a programming language, and it is English-like, so it's fairly easy to understand and write SQL query. Most database engines are compatible with all SQL code.

Opinions will probably vary here. As a whole language, SQL is definitely simpler than Python. The syntax is intuitive, there is less grammar, and there are fewer different concepts to learn. But as a comprehensive tool, SQL may actually be more difficult than Python coding.

While it has the functionality of a mature programming language, SQL is not considered a "programming" language. SQL stands for Structured Query Language. It is a language that allows us to query, insert, update, and modify data in relational databases.

This is a beginner level SQL tutorial, so no prior SQL experience is required. But it would help to be somewhat familiar with the basic concepts of computer programming.

You will learn:

This course is for anyone who is interested in data science and learning how to manipulate data. If you work with large sets of data on a regular basis, SQL can greatly improve your understanding of that data, and greatly improve efficiencies.

A relational database is just what it sounds like: it is multiple sets of data with a well-defined relationship between the tables in those sets of data. Relational databases allow tables to commnicate and share information across these multiple data sets, which helps with data searchability and organization.

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What's inside

Syllabus

Course Overview
Introduction
Understanding Basic SQL Syntax
Querying Data with the SELECT Statement
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Filtering Results with the WHERE Clause
Shaping Results with ORDER BY and GROUP BY
Matching Different Data Tables with JOINs
Adding, Changing, and Removing Data
Creating Database Tables

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides foundational knowledge and skills for beginners learning Structured Query Language (SQL)
Taught by Jon Flanders, an experienced instructor in SQL and data management
Covers a range of essential SQL concepts, including querying, data manipulation, and table creation
Suitable for individuals interested in data science and data manipulation
Assumes some familiarity with basic computer programming concepts
Exclusively focuses on SQL, not covering broader programming concepts

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Career center

Learners who complete Introduction to SQL will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist uses scientific methods and processes to extract knowledge and insights from data. This role often works with large and complex datasets, using a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Data Scientist as they often work with SQL to extract and analyze data.
Business Intelligence Analyst
A Business Intelligence Analyst analyzes data and provides insights to stakeholders, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Business Intelligence Analyst as they often work with data and use SQL to extract and analyze data.
Database Developer
A Database Developer designs and implements databases, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Database Developer as they often work with data and use SQL to extract and analyze data.
Information Architect
An Information Architect designs and implements information architectures, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to an Information Architect as they often work with data and use SQL to extract and analyze data.
Statistician
A Statistician collects, analyzes, and interprets data, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Statistician as they often work with data and use SQL to extract and analyze data.
Data Engineer
A Data Engineer designs and implements data pipelines, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Data Engineer as they often work with data and use SQL to extract and analyze data.
Data Warehouse Manager
A Data Warehouse Manager plans, builds, and manages data warehouses, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Data Warehouse Manager as they often work with data and use SQL to extract and analyze data.
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning models, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Machine Learning Engineer as they often work with data and use SQL to extract and analyze data.
Database Administrator
A Database Administrator develops, implements, and maintains database management systems. This role ensures that data is stored and managed securely and efficiently. The Introduction to SQL course may be helpful for a Database Administrator as they often work with SQL to maintain and manage databases.
Data Architect
A Data Architect designs and implements data architectures, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Data Architect as they often work with data and use SQL to extract and analyze data.
Data Analyst
A Data Analyst designs and implements data collection systems to collect, process, and analyze data. This role often works with a variety of data, from structured to unstructured, and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Data Analyst as they often work on organizing and understanding large sets of data.
Business Analyst
A Business Analyst works with stakeholders to understand and analyze business needs, and then develops and implements solutions to meet those needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Business Analyst as they often work with data and use SQL to extract and analyze data.
Project Manager
A Project Manager plans, executes, and closes projects, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Project Manager as they often work with data and use SQL to extract and analyze data.
Product Manager
A Product Manager develops and manages products, working with stakeholders to understand and meet their needs. This role often works with data and uses a variety of tools and techniques to analyze data. The Introduction to SQL course may be useful to a Product Manager as they often work with data and use SQL to extract and analyze data.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This role often works with a variety of programming languages and technologies, and uses a variety of tools and techniques to develop software. The Introduction to SQL course may be useful to a Software Engineer as they often work with databases and use SQL to interact with data.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to SQL.
Provides a comprehensive overview of SQL, covering all the basics from data types and operators to queries and transactions. It is written in a clear and concise style, making it easy for beginners to understand.
This tutorial provides a comprehensive overview of SQL Server, covering a wide range of topics, from basic syntax to advanced concepts. It good choice for those who want to learn SQL Server.
This tutorial provides a comprehensive overview of PostgreSQL, covering a wide range of topics, from basic syntax to advanced concepts. It good choice for those who want to learn PostgreSQL.
Focuses on using SQL to extract insights from data. It practical guide that teaches you how to use SQL to solve real-world data analysis problems.
A handy reference guide for SQL users. It provides hundreds of recipes that show you how to solve common SQL problems.
A comprehensive guide to the SQL:1999 standard. provides a detailed explanation of all the features of the SQL:1999 standard.
A comprehensive guide to high availability and disaster recovery for SQL Server 2014. provides detailed instructions on how to implement and manage high availability and disaster recovery solutions for SQL Server 2014.
A practical guide to performance tuning and optimization for SQL Server 2016. provides detailed instructions on how to identify and resolve performance issues in SQL Server 2016.

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