Top SQL Tutorials For Beginners in 2024

Best way to learn SQL Database courses & Online Tutorials to Learn Database courses for beginners to advanced levels.

Database Courses is a systematic collection of data. Databases support the storage and manipulation of data. Databases make data management easy. Let's discuss a few examples. An online telephone directory would definitely use the database to store data pertaining to people, phone numbers, other contact details, etc.

Your electricity service provider is obviously using a database to manage billing, client-related issues, handle fault data, etc. Let's also consider Facebook. It needs to store, manipulate, and present data related to members, their friends, member activities, messages, advertisements, and a lot more.

Top SQL Database Courses List

Learn Database Courses Design with MySQL
Database Courses and SQL for Data Science
Build MySQL Databases Courses Bootcamp (Beginner to Expert Course)
SQL Crash Course for Beginners - Learn SQL with MySQL
The Complete Oracle SQL Certification Course
MongoDB - The Complete Developer's Guide
Advanced SQL: SQL Expert Certification Preparation Course
Using Database with Python
Database Management Essentials
Building Database Applications in PHP
SQL Essential Training
SQL: Data Reporting and Analysis

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1. Learn Database Course Design with MySQL

A Complete Course to Master Database Course Design using MySQL.

Course rating: 4.1 out of 5.0 (4,023 Rating total)
Duration: 6.5 Hours
Certificate: Certificate of completion

With this Database course, you will:

To Learn Database Design Process
To Learn Database Normalization
To Learn Database development using MySQL
To Master SQL
To Learn to use PHP with MySQL

Database Course design is one of the most important aspects of Web programming. Successful implementation of any system with Data Storage will always need proper database design. In order to create great database design you will not only have to master the Database technology but will have to master the database design process and normalization. This course will teach you the nuances of proper database design. It will teach you all the hidden tips and tricks and will ensure that you learn all the major concepts of proper database design.

This course will also teach you SQL and you will be a SQL power user by the end of this course. You will start with a basic introduction to data storage and will follow it up with storage engines and other tools. You will also learn about MySQL installation and the database design process. Database design, normalization, structure mapping, keys, and junction tables come next. The next units will teach you SQL and Advance SQL and you will also learn to use PHP with MySQL. So this complete Database course will surely help you become a Database Design Guru.

You can take Learn Database Course Design with MySQL Certificate Course on Udemy.

2. Database Course and SQL for Data Science

Learn Database Course and SQL for Data Science from IBM. Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language that is used for communicating with and extracting data from databases. A working.

Course rating: 4.7 out of 5.0 (12,298 Rating total)
Duration: 13 Hours
Certificate: Certificate of completion

With this Database course, you will:

Create and access a database instance on the cloud.
Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE.
Filter, sort, group results, use built-in functions and access multiple tables.
Access databases from Jupyter using Python and work with real-world datasets.

Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language that is used for communicating with and extracting data from databases. Working knowledge of databases and SQL is a must if you want to become a data scientist.

This course introduces relational database concepts and helps you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning. As such, you will work with real database courses, real data science tools, and real-world datasets. You will create a database instance in the cloud.

Through a series of hands-on labs, you will practice building and running SQL queries. You will also learn how to access databases from Jupyter Notebooks using SQL and Python. No prior knowledge of databases, SQL, Python, or programming is required. Anyone can audit this course at no charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.

By the end of this module, you will learn how to use string patterns and ranges to search data, how to sort and group data in result sets, as well as learn how to work with multiple tables in a relational database using join operations. After completing the lessons this week, you will learn how to explain the basic concepts related to using Python to connect to databases and then create tables, load data, query data using SQL and analyze data using Python As a hands-on Data Science assignment, you will be working with multiple real-world datasets for the city of Chicago. You will be asked questions that will help you understand the data just like a data scientist would. You will be assessed both on the correctness of your SQL queries and results.

You can take Database Course and SQL for Data Science Certificate Course on Coursera.

3. Build MySQL Database Course Bootcamp (Beginner to Expert Course)

Become an In-demand SQL Master by creating complex database Courses and building reports through real-world projects.

Course rating: 4.6 out of 5.0 (47,142 Rating total)
Duration: 20 Hours
Certificate: Certificate of completion

With this database course, you will:

Create your own database course or interact with existing databases
Write complex SQL queries across multiple tables
Build a web app using NodeJS and MySQL
Model real-world data and generate reports using SQL
Answer company performance or sales questions using data
Learn the ins and outs of SQL syntax
Generate reports using sales and user data Analyze data using Aggregate Functions
Run complex queries using MySQL logical operators and string functions
Write all the common SQL joins
Work with large datasets containing thousands of entries
Build a web app using MySQL and NodeJS
Design and implement complex database schemas
Learn to navigate the treacherous world of storing dates and times
Clone the database structure of a photo-sharing social network
Write Javascript code to generate fake data sets

This course is a gentle but comprehensive introduction to MySQL, one of the most highly in-demand skills in the business sector today. Whether you work in sales or marketing, you run your own company, or you want to build your own apps, mastering MySQL is crucial to answering complex business problems and questions using insights from data. The Ultimate MySQL Bootcamp introduces you to a solid foundation in databases in a way that’s both informative and engaging. This course is also chock full of exercises, challenges, projects, and opportunities for you to practice what you’re learning.

You can take Build MySQL Database Course Bootcamp (Beginner to Expert Course) Certificate Course on Udemy.

4.SQL Crash Course For Beginners - Learn SQL With MySQL

Master the SQL statements that every software developer or data analyst needs for designing and developing database course

Course rating: 4.5 out of 5.0 (245 Rating total)
Duration: 1.5 Hours
Certificate: Certificate of completion

With this database course, you will:

Dozens of targeted exercises with full explanations and solutions from beginner level right up to advanced.
Every SQL statement you need is covered thoroughly
Straight to the point, no time wasted
Every module contains information and activities that are relevant to real-life jobs or the kind of tasks you may get on interview

Big database courses are everywhere these days. Facebook, Netflix, Uber, and Airbnb use SQL-driven databases - to name just a few. So, to be a successful developer or data scientist you need to know SQL inside-out. But - SQL can seem complicated. Especially if you’re a beginner or more familiar with other programming languages. SQL isn’t complicated or at least it doesn’t need to be, so long as you learn it the right way. The problem is too many other courses out there jump around, skipping important concepts or simply teaching things badly. That’s why this course goes further than most. You’ll get in-depth knowledge and skills that are built up sequentially to make sure you don’t have any gaps.

You can take SQL Crash Course for Beginners - Learn SQL with MySQL Certificate Course on Udemy.

5. The Complete Oracle SQL Certification Course

Don't just learn the SQL Language, Become Job-Ready and Launch Your Career as a Certified Oracle SQL Developer.

Course rating: 4.6 out of 5.0 (23,039 Rating total)
Duration: 16.5 Hours
Certificate: Certificate of completion

With this database course, you will:

Become Job Ready to Start Contributing as Database Developer Day 1
Pass the Oracle SQL Fundamentals Examinations
Program in the SQL Language to solve a variety of Database Problems
Be a SQL Ninja and understand how the Oracle Database Works

This database course will prepare you to be job-ready in just 1 month of study and practice. All exercises and solutions are in the lectures. In several lectures, I ask students to pause the video and complete the assignment before resuming to watch my solution.

You can take The Complete Oracle SQL Certification database Course Certificate Course on Udemy.

6. MongoDB - The Complete Developer's Guide

Master MongoDB Development for Web & Mobile Apps. CRUD Operations, Indexes, Aggregation Framework - All about MongoDB.

Course rating: 4.7 out of 5.0 (10,319 Rating total)
Duration: 17 Hours
Certificate: Certificate of completion

With this database course, you will:

Use MongoDB to its full potential in future projects
Write efficient and well-performing queries to fetch data in the format you need it
Use all features MongoDB offers you to work with data efficiently

MongoDB is one of the most important database courses you can work with these days. It's extremely popular and MongoDB developers are in high demand. No matter if you're building web applications, mobile applications, or any other kind of application or if you're a data scientist - you'll need to work with data. Storing data, querying it efficiently, and minimizing complexities whilst optimizing performance are crucial tasks. MongoDB makes working with data simple - it's built on a philosophy that prioritizes performance and efficiency. In this course, you'll learn all about MongoDB from scratch. No prior MongoDB or database experience is required.

You can take MongoDB - The Complete Developer's Guide Certificate Course on Udemy.

7. Advanced SQL: SQL Expert Certification Preparation Course

Complete Your SQL Knowledge From Intermediate to Advanced Level and Get Your SQL Expert Certificate in Oracle.

Course rating: 4.4 out of 5.0 (1,795 Rating total)
Duration: 13 Hours
Certificate: Certificate of completion

With this database course, you will:

All the advanced subjects that you need for SQL Expert Certification
Learn Advanced SQL Query with Hundreds of Examples!
Write, Read, and Analyze Any Advanced SQL Codes Easily
Learn Advanced SQL Functions in Oracle
SQL Functions in Oracle Regular Expressions
Introducing Database Course
Creating and Using Indexes
Creating and Using Views
Creating and Using Synonyms
Creating and Using Sequences
Data Dictionary Views
Using Advanced Subqueries
Generating (Dynamic) SQL Scripts
Advanced-Data Manipulations
Advanced Aggregation Techniques
Windowing functions for working with ordered data sets
Lifetime Support from the Authors
Working Materials

Oracle has two Certification Exams for SQL; The first one (SQL Fundamentals) covers the basic subjects (All of these subjects are covered in my first course.) The second one (SQL Expert) covers more advanced subjects including the basic ones. (All the advanced subjects (and more) for this exam are covered in this course.) All the subjects are explained in detail and exampled as many as I can with Oracle's HR schema. You can check the subjects from Oracle's related pages.

You can take Advanced SQL: SQL Expert Certification Preparation Course Certificate Course on Udemy.

8. Using Databases with Python

Learn Using Databases with Python from the University of Michigan. This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database course design for storing data as part of a multi-step data gathering.

Course rating: 4.8 out of 5.0 (18,690 Rating total)
Duration: 15 Hours
Certificate: Certificate of completion

With this database course, you will:

Outline the composition of the Arduino development board
Explain the basics of Object Oriented Python
Understand how data is stored across multiple tables in a database course
Use the Create, Read, Update, and Delete operations to manage the database course
Utilize the Google Maps API to visualize data

This course will introduce students to the basics of Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data-gathering and visualization processes. We will use the D3.js library to do basic data visualization.

This course will cover Chapters 14-15 of the book “Python for Everybody”. This course covers Python 3. To start this class out we cover the basics of Object Oriented Python. We won't be writing our own objects, but since many of the things we use like BeautifulSoup, strings, dictionaries, and database connections all use Object Oriented (OO) patterns we should at least understand some of its patterns and terminology.

We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database. In this section, we learn about how data is stored across multiple tables in a database and how rows are linked (i.e., we establish relationships) in the database. In this section, we explore how to model situations like students enrolling in courses where each course has many students and each student is enrolled in many courses. In this section, we put it all together, retrieve and process some data and then use the Google Maps API to visualize our data.

You can take Using Databases with Python Certificate Course on Coursera.

9. Database Management Essentials

Learn Database Management Essentials from the University of Colorado System. Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire.

Course rating: 4.6 out of 5.0 (2,416 Rating total)
Duration: 36 Hours
Certificate: Certificate of completion

In this database course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.

Module 1 provides the context for Database Management Essentials. When you’re done, you’ll understand the objectives of the course and know what topics and assignments to expect. Keeping these course objectives in mind will help you succeed throughout the course! You should read about the database software requirements in the last lesson of module 1. recommends that you try to install the DBMS software this week before assignments begin in week 2. We’ll launch into an exploration of databases and database technology and their impact on organizations in Module 2.

We’ll investigate database characteristics, and database technology features, including non-procedural access, two key processing environments, and an evolution of the database software industry. This short informational module will ensure that we all have the same background and context, which is critical for success in the later modules that emphasize details and hands-on skills. Now that you have the informational context for database features and environments, you’ll start building!

In this module, you’ll learn relational data model terminology, integrity rules, and the CREATE TABLE statement. You’ll apply what you’ve learned in practice and graded problems using a database management system (DBMS), either Oracle or MySQL, creating tables using the SQL CREATE TABLE statement and populating your tables using given SQL INSERT statements. This module is all about acquiring query formulation skills. Now that you know the relational data model and have basic skills with the CREATE TABLE statement, we can cover the basic syntax of the SQL SELECT statement and the join operator for combining tables.

SELECT statement examples are presented for single table conditions, join operations, and grouping operations. You’ll practice writing simple SELECT statements using the tables that you created in the assignment for module 3. Now that you can identify and use the SELECT statement and the join operator, you’ll extend your problem-solving skills in this module so you can gain confidence on more complex queries. You will work on retrieval problems with multiple tables and grouping.

In addition, you’ll learn to use the UNION operator in the SQL SELECT statement and write SQL modification statements. Module 6 represents another shift in your learning. In previous modules, you’ve created and populated tables and developed query formulation skills using the SQL SELECT statement. Now you’ll start to develop skills that allow you to create a database design to support business requirements.

You’ll learn basic notation used in entity relationship diagrams (ERDs), a graphical notation for data modeling. You will create simple ERDs using basic diagram symbols and relationship variations to start developing your data modeling skills. Module 7 builds on your knowledge of database development using basic ERD symbols and relationship variations. We’ll be practicing precise usage of ERD notation and basic problem-solving skills.

You will learn about diagram rules and work problems to help you gain confidence in using and creating ERDs. In Module 8, you’ll use your ERD notation skills and your ability to avoid diagram errors to develop ERDs that satisfy specific business data requirements. You will learn and practice powerful problem-solving skills as you analyze narrative statements and transformations to generate alternative ERDs. Now that you have practiced data modeling techniques, you’ll get to wrestle with narrative problem analyses and transformations for generating alternative database designs in Module 9.

At the end of this module, you’ll learn guidelines for documentation and detection of design errors that will serve you well as you design database courses for business situations. Modules 6 to 9 covered conceptual data modeling, emphasizing precise usage of ERD notation, analysis of narrative problems, and generation of alternative designs. Modules 10 and 11 cover logical database design, the next step in the database development process.

In Module 10, we’ll cover schema conversion, the first step in the logical database design phase. You will learn to convert an ERD into a table design that can be implemented on a relational DBMS. Module 11 covers normalization, the second part of the logical database design process. Normalization provides tools to remove unwanted redundancy in a table design. You’ll discover the motivation for normalization, constraints to reason about unwanted redundancy, and rules that detect excessive redundancy in a table design. You’ll practice integrating and applying normalization techniques in the final lesson of this course.

You can take Database Management Essentials Certificate Course on Coursera.

10. Building Database Applications in PHP

Learn Building Database Applications in PHP from the University of Michigan. In this course, we'll look at the object-oriented patterns available in PHP. You'll learn how to connect to MySQL using the Portable Data Objects (PDO) library and issue.

Course rating: 4.9 out of 5.0 (789 Rating total)
Duration: 24 Hours
Certificate: Certificate of completion

In this database course, we'll look at the object-oriented patterns available in PHP. You'll learn how to connect to MySQL using the Portable Data Objects (PDO) library and issue SQL commands in the PHP language. We'll also look at how PHP uses cookies and manages session data. You'll learn how PHP avoids double posting data, how flash messages are implemented, and how to use a session to log in users in web applications. We'll then build the first 'complete' application that has multiple screens to Create, Read, Update, and Delete (CRUD) our data. This brings all the previous concepts together and will form the basis for all later web applications. We look at the object-oriented patterns available in PHP.

We look at how we connect to MySQL using the Portable Data Objects (PDO) library and issue SQL commands in the PHP language. We look at how PHP uses cookies and manages session data. We look at how PHP avoids double posting data, how flash messages are implemented, and how we use a session to log in users in web applications. Now we build our first 'complete' application that has multiple screens to Create, Read, Update, and Delete (CRUD) our data. This brings all the previous concepts together and will form the basis for all later web applications.

You can take Building Database Applications in PHP Certificate Course on Coursera.

11. SQL Essential Training

Knowing how to code and manage relational databases and database-driven applications is a valuable skill for any career in tech.

Course ratings: 138,263 total enrollments
Duration: 3 Hours
Certificate: Certificate of completion

In this course, you will learn:

how databases are organized.
selecting rows and columns.
creating new tables.
inserting and updating data.
sorting and filtering.
accessing related tables with JOIN.
working with strings.
understanding numeric types.
using aggregate functions and transactions.
automating data with triggers.
creating views.
using CRUD functions.

The course includes:

Installation
SQL Overview
Fundamental Concepts
Relationships
Strings
Numbers
Dates and Times
Aggregates
Transactions
Triggers
Views and Subselects
A Simple CRUD Application

This course is designed to help users understand the most common language for database wrangling, SQL. All the lessons have been recorded in SQLiteStudio, an intuitive and easy-to-install database manager.

It teaches all the major features of SQL: creating tables; defining relationships; manipulating strings, numbers, and dates; using triggers to automate actions; and using subselects and views.

Finally, the course offers a solid working knowledge of the language and shows how to retrieve and manage data efficiently. The final chapter includes a real-world example of building a simple application using SQL.

You can take SQL Essential Training Certificate Course on LinkedIn.

12. SQL: Data Reporting and Analysis

Do you rely on IT to get the data you need? Are you often stuck waiting in line for data, and wish you could just retrieve it yourself?

Course ratings: 48,231 total enrollments
Duration: 2.3 Hours
Certificate: Certificate of completion

In this course, you will learn:

retrieving data with SELECT statements.
filtering and sorting your results.
transforming results with built-in SQL functions.
grouping SQL results.
merging data from multiple tables.
using variables, functions, and procedures.

The course includes:

Prepare to Code in SQL
Use SQL to Report Data
Group Your SQL Results
Merge Data from Multiple Tables
More Advanced SQL

In this course, learn how to get the data you want by writing a bit of SQL code. You won't just be able to pull data out of the database; you'll be able to manipulate it: merging it, grouping it, and relabeling it to get just the report you want.

This course shows how to write simple SQL queries for data reporting and analysis. Learn how to filter, group, and sort data, using built-in SQL functions to format or calculate results.

Discover how to perform more complex queries, such as joining data together from different database tables. Last but not least, she introduces views, procedures, functions, and variables.

You can take SQL: Data Reporting and Analysis Certificate Course on LinkedIn.

Thank you for reading this. We hope our course curation would help you to pick the right course to learn SQL. In case you want to explore more, you can take the free SQL courses.

Hello reader! Well if you have made it to the end, then it is certain that your quest for learning is not over yet. Look no further as Coursesity present to you a comprehensive collection of courses curated especially according to your needs.