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SQL

with Martin Ganchev and Vladimir Saev

Become proficient in SQL and manage relational databases with confidence

4.9

808 reviews on

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132387 students already have enrolled

Skill level:

Basic

Duration:

11 hours

Lessons (36 hours)

Practice exams (45 minutes)

Projects (2 hours)

CPE credits:

15

CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

Acquire essential SQL skills for roles in data analytics and engineering.
Learn database fundamentals and apply SQL theory in real scenarios.
Create relational databases and retrieve and analyze data using SQL queries.
Adopt SQL best practices from an experienced programmer.
Install and use MySQL Server and Workbench tools.

Topics & tools

SQLtheoryprogrammingrelational databasesetldatabase theorydata engineeringdata preprocessing

Your instructor

Martin Ganchev

Content Creator & Content Manager at 365 Data Science | Data Science Instructor

Track record

Bringing real-world expertise from leading global companies

Academic background

Master's degree, Economic and Social Sciences

Ask Martin a question

Vladimir Saev

Software Engineer | Database Design & SQL Expert

Track record

Bringing real-world expertise from leading global companies

Academic background

Master's degree, Computer Engineering

Ask Vladimir a question

Course Overview

Accredited certificates

Course OVERVIEW

Description

CPE Credits: 15 Field of Study: Information Technology
Delivery Method: QAS Self Study

SQL is one of the fundamental programming languages you need to learn to work with databases. When you are a data scientist in a company and you need data to perform your analysis, you usually have two options: extract it on your own or contact the IT team. Of course, the ability to extract your own data is an extremely valuable skill to have. In this course, we will teach you everything you need to know in terms of database management and creating SQL queries.

Prerequisites

Any SQL environment (such as SQLite, MySQL Workbench, or an online SQL editor).

Advanced preparation

None

Curriculum

181 lessons 151 exercises 1 project 4 exams

1. Introduction to Databases, SQL, and MySQL

14 Min

Whether you are working in business intelligence (BI), data science, database administration, or back-end development, you will have to retrieve information from a server storing large amounts of data. To achieve this, you need SQL. The relational database management system we chose for this course is MySQL. We did that because MySQL is open-source, reliable, and mature. In one of the videos of this section, we will provide you with step-by-step guidance when you install MySQL Server and MySQL Workbench. The introductory part of this course pays significant attention to database theory. You will learn the meaning of terms like database, data table, data entity, record, field, relation, and more.

Welcome to SQL Free

Why SQL? Free

Exercise Free

Why MySQL? Free

Exercise Free

Introduction to databases Free

Exercise Free
2. SQL Theory

20 Min

In this section, we study the components of the Structured Query Language, SQL. We will focus on the following syntaxes: Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL), and Transaction Control Language (TCL). In addition, we will introduce you to the concept of using SQL Keywords.

SQL as a declarative language Free

Data definition language (DDL) Free

Exercise Free

SQL keywords Free

Exercise Free

Data manipulation language (DML) Free

Exercise Free

Data control language (DCL) Free

Exercise Free

Transaction control language (TCL) Free

Exercise Free
3. Basic Database Terminology

34 Min

We are sure that you will be many times more efficient and precise in producing your SQL queries if you are in good command of basic database terminology. At the end of the day, that's why SQL has been created: to help you store, retrieve, and manipulate data from relational databases. So, knowing exactly what a relational database is and understanding the meaning of terms like 'relational schema,' 'primary key,' 'foreign key,' 'unique key,' and 'entity relationships' is something that is crucial for giving you confidence and precision in your work with SQL.

Relational database essentials Free

Exercise Free

Databases vs spreadsheets Free

Exercise Free

Database terminology Free

Exercise Free

Relational schemas - Primary key Free

Exercise Free

Relational schemas - Foreign key Free

Exercise Free

Relational schemas - Unique key and null values Free

Exercise Free

Relationships Free

Exercise Free
4. Installing MySQL and Getting Acquainted with the Interface

30 Min

In this section, we will provide you with step-by-step guidance on how to install MySQL Server and MySQL Workbench, the two components you need in order to start working with MySQL. Then, you'll need to set up a connection between Workbench and the server. Of course, we will show you how to do that, and then we will conclude by making a quick tour of the MySQL Workbench interface. What you will see in these lectures will be more than enough of a preparation for working with the software before you start coding in the next section.

Installing MySQL

Additional note – Installing – Visual C

Installing MySQL on macOS and Unix systems

The Client-Server Model

Setting up a connection

Important - Please read

New Authentication Plugin - Creating a New User

Introduction to the MySQL interface

Exercise
5. First Steps in SQL

46 Min

It is time to create your first database and make your first steps in SQL. In this section, we will introduce you to string, fixed- and floating-point, and other useful data types. You will learn how to create a database table and how to use such a table. Not only that, but we will also introduce the different types of constraints that can be assigned to tables (primary key, foreign key, unique key, default, not null, and other types of constraints)

Creating a Database - Part I

Creating a Database - Part I - Exercise

SQL files

Creating a Database - Part II

Exercise

Creating a Database - Part II - Еxercise

Introduction to data types

Exercise

String data types

Exercise

Integers

Exercise

Fixed and floating-point data types

Exercise

Other useful data types

Exercise

Creating a table

Creating a table - Exercise

Using databases and tables

Using databases and tables - Exercise

Additional notes on using tables

Additional notes on using tables - Exercise

Exercise
6. MySQL Constraints

38 Min

So far, you've been acquainted with crucial theoretical topics and fundamentals in coding in MySQL. In this section, both will come together to show you how primary keys, foreign keys, and unique keys are applied in practice through MySQL Constraints. Once you have mastered these three, we will continue with other types of constraints that you will encounter daily in your work, such as the DEFAULT Constraint and the NOT NULL Constraint.

PRIMARY KEY constraint

PRIMARY KEY constraint- Exercise

Exercise

FOREIGN KEY constraint - Part I

FOREIGN KEY constraint - Part II

FOREIGN KEY constraint - Part II - Exercise

UNIQUE Constraint

Exercise

UNIQUE Constraint - Code

DEFAULT Constraint

DEFAULT Constraint - Code

NOT NULL Constraint - Part I

NOT NULL Constraint - Part I - Code

NOT NULL Constraint - Part II

Exercise
7. SQL Best Practices

10 Min

There are many ways you can write your SQL code, but there are only a few that are considered professional. In this part of the course, we will teach you how to write professional code and how to adhere to professional best practices. To reinforce what you have learned, we will wrap up this section with an easy-to-understand practical example.

Coding techniques and best practices - Part I

Exercise

Coding techniques and best practices - Part II

Exercise
8. Loading the Data

3 Min

One of the best features of our SQL training is that it uses a real-life database – the “Employees” database. We will use it to manipulate data in MySQL in all lessons. In this chapter, you will download the SQL file and will run it in Workbench.

Loading the 'employees' database

Loading the 'employees' database - Link

Exercise
9. SQL SELECT STATEMENT

89 Min

When doing analysis with SQL, regardless of whether in that moment you are working on the administration of your relational database, on a business intelligence analysis, or are doing some preliminary work in the data science field, you will be constantly dealing with the SQL SELECT Statement. We cannot stress enough how important it is to have completely internalized the structure of this particular SQL statement. That's why, in this section, we will make sure you will learn and practice all the fundamentals of the SELECT Statement. We won't let you proceed before you feel comfortable using it.

SELECT… FROM…

SELECT - FROM - Exercise

Exercise

What to Expect from the Upcoming Course Coding Exercises

Coding exercise

Coding exercise

Coding exercise

WHERE

WHERE - Exercise

Coding exercise

AND

AND - Exercise

Coding exercise

OR

OR - Exercise

Coding exercise

Operator Precedence

Operator Precedence - Exercise

Coding exercise

IN - NOT IN

IN - NOT IN - Exercise

Coding exercise

Coding exercise

LIKE - NOT LIKE

LIKE - NOT LIKE - Exercise

Coding exercise

Coding exercise

Coding exercise

Wildcard Characters

Wildcard Characters - Exercise

Coding exercise

Coding exercise

BETWEEN… AND…

BETWEEN - AND - Exercise

Coding exercise

Coding exercise

Coding exercise

IS NOT NULL - IS NULL

IS NOT NULL - IS NULL - Exercise

Coding exercise

Other Comparison Operators

Other Comparison Operators - Exercise

Coding exercise

Coding exercise

SELECT DISTINCT

SELECT DISTINCT - Exercise

Coding exercise

Introduction to Aggregate Functions

Introduction to Aggregate Functions - Exercise

Coding exercise

Coding exercise

ORDER BY

ORDER BY - Exercise

Coding exercise

GROUP BY

Using Aliases (AS)

Using Aliases (AS) - Exercise

Coding exercise

HAVING

HAVING - Exercise

Coding exercise

WHERE vs HAVING - Part I

WHERE vs HAVING - Part II

WHERE vs HAVING - Exercise 2

Coding exercise

LIMIT

LIMIT - Exercise

Coding exercise
10. SQL INSERT Statement

14 Min

Apart from delivering the segment of the data you need from your database through the SELECT Statement, SQL also gives you the chance to manipulate your data. The Data Manipulation Language, DML, is the part of the SQL syntax that contains the commands that will allow you to do that. In this section, we will focus on the INSERT Statement, which is obviously about inserting data to a table from your database.

The INSERT statement - Part I

The INSERT statement - Part II

Inserting Data INTO a New Table

The INSERT statement - Part II - Exercise

Practice exam

Inserting Data INTO a New Table - Exercise
11. SQL UPDATE Statement

10 Min

Still on the subject of manipulating your data set, in this section we will focus on another DML Statement: the UPDATE Statement. Sometimes you won't need to insert new data, but you will want to correct or update some of the existing data in your database. That's why you have the UPDATE Statement, which is there just for that!

TCL's COMMIT and ROLLBACK

The UPDATE Statement - Part I

The UPDATE Statement - Part II

The UPDATE Statement - Part II - Exercise
12. SQL DELETE Statement

9 Min

A bit trickier than the SQL INSERT and UPDATE Statements is the SQL DELETE Statement. Yes, it definitely is about removing information from your data set, but you must be prudent when using it. First, you risk losing data that you might actually need, and second, you shouldn't confuse it with the DROP and TRUNCATE statements. This section is devoted to clarifying all these subject matters.

The DELETE Statement - Part I

The DELETE Statement - Part II

The DELETE Statement - Part II - Exercise

DROP vs TRUNCATE vs DELETE

Exercise
13. MySQL Aggregate Functions

26 Min

Aggregate functions come in handy when we want to perform some arithmetic operations with the data in our database. The most commonly-used aggregate functions in SQL are COUNT(), SUM(), MIN(), MAX(), and AVG().

COUNT()

COUNT() - Exercise

Coding exercise

SUM()

SUM() - Exercise

Coding exercise

MIN() and MAX()

MIN() and MAX() - Exercise

Coding exercise

Coding exercise

AVG()

AVG() - Exercise

Coding exercise

ROUND()

ROUND() - Exercise

Coding exercise

COALESCE() - Preamble

IFNULL() and COALESCE()

Another Example of Using COALESCE()

Another Example of Using COALESCE() - Exercise

Exercise

Coding exercise

Coding exercise
14. SQL JOINs

82 Min

Joins are one of the most powerful and frequently-used tools in SQL. This is a tool you will need when combining the information from two or more tables. After completing this section, you will be able to use inner, left, right, and cross joins.

Introduction to JOINs

Introduction to JOINs - Exercise

INNER JOIN - Part I

INNER JOIN - Part II

INNER JOIN - Part II - Exercise

Coding exercise

A Note on Using Joins

Duplicate Records

LEFT JOIN - Part I

LEFT JOIN - Part II

LEFT JOIN - Part II - Exercise

Coding exercise

RIGHT JOIN

Coding exercise

The new and the old join syntax

The new and the old join syntax - Exercise

Coding exercise

JOIN and WHERE Used Together

JOIN and WHERE Used Together - Exercise

Coding exercise

CROSS JOIN

CROSS JOIN - Exercise

Coding exercise

Coding exercise

Using Aggregate Functions with Joins

JOIN more than two tables in SQL

JOIN more than two tables in SQL - Exercise

Coding exercise

Tips and tricks for joins

Tips and tricks for joins - Exercise

Coding exercise

UNION vs UNION ALL

UNION vs UNION ALL - Exercise

Coding exercise
15. SQL Subqueries

20 Min

Here, you will learn how to write subqueries, a key SQL tool for more advanced users. The section also includes a number of useful tips and tricks and aims to take your SQL skills to the next level.

SQL Subqueries with IN nested inside WHERE

SQL Subqueries with IN nested inside WHERE - Exercise

Coding exercise

SQL Subqueries with EXISTS-NOT EXISTS nested inside WHERE

SQL Subqueries with EXISTS-NOT EXISTS nested inside WHERE - Exercise

Coding exercise

SQL Subqueries nested in SELECT and FROM

SQL Subqueries nested in SELECT and FROM - Exercise Text

Coding exercise

Calculating Free-to-Paid Conversion Rate with SQL Project Free
16. SQL Self Join

8 Min

Joins are one of the most powerful and frequently-used tools in SQL. This is a tool you will need when combining the information from two or more tables. After completing this section, you will be able to use inner, left, right, and cross joins.

SQL Self Join

Exercise

Coding exercise

Coding exercise

Coding exercise
17. SQL Views

8 Min

The focus of this part of the course is the SQL View. A view in SQL is a virtual table whose contents are obtained from an existing table or tables. Using this, SQL Tools has several advantages that will all be discussed in this lecture.

Using SQL views

Using SQL views - Exercise
18. Stored Routines

49 Min

Stored routines are a set of SQL statements that have been pre-written and stored on a server, allowing users to re-run them at a later stage. You will learn how to create your own stored procedures and functions.

Introduction to Stored Routines

Exercise

The MySQL syntax for stored procedures

Stored Procedures - Example - Part I

Stored Procedures - Example - Part II

Another Way to Create a Procedure in MySQL

Stored Procedures - Example - Part II - Exercise

Stored Procedures with an Input Parameter

Stored Procedures with an Output Parameter

Variables

Stored Procedures with an Output Parameter - Exercise

User-defined functions in MySQL

Variables - Exercise

Stored routines - conclusion

User-defined functions in MySQL - Exercise

Practice exam

Exercise
19. Advanced SQL Topics

45 Min

In the last part of the training, you will learn advanced SQL topics like local variables, session variables, global variances, MySQL triggers, MySQL indexes, and the CASE Statement.

Types of MySQL Variables - Local Variables

Exercise

Session Variables

Exercise

Global Variables

Exercise

User-Defined vs System Variables

Exercise

MySQL Triggers - Preamble

MySQL Triggers

MySQL Triggers - Exercise

MySQL Indexes

MySQL Indexes - Exercise Text

The CASE Statement

The CASE Statement - Exercise Text

Coding exercise

Coding exercise

Coding exercise

Practice exam
20. Course exam

110 Min

Course exam

Free preview

1.1 Welcome to SQL

4 min

1.2 Why SQL?

3 min

1.4 Why MySQL?

2 min

1.6 Introduction to databases

5 min

2.1 SQL as a declarative language

2 min

2.2 Data definition language (DDL)

4 min

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