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Easy Learning with SQL for Developers, Data Analysts and BI. MySQL for everyone
IT & Software > Other IT & Software
6.5 h
£49.99 Free for 2 days
3.9 ★★★★★
49101 students

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Language: English

Sale Ends: 19 Jan

Master SQL & MySQL: From Zero to Data Pro

What you will learn:

  • Design and implement relational databases using SQL
  • Master core SQL syntax, including DDL and DML commands
  • Utilize MySQL Workbench for database design and management
  • Construct sophisticated SQL queries using JOINs, subqueries, and aggregate functions
  • Apply database normalization techniques for optimal data integrity
  • Work with various data types, including CHARSET and COLLATION
  • Build and manage complex database schemas using EER diagrams
  • Use efficient data retrieval strategies with indexes and keys
  • Implement CRUD operations (Create, Read, Update, Delete) proficiently
  • Troubleshoot and resolve common database issues

Description

Unlock the power of data! Join our comprehensive course on SQL and MySQL, designed for beginners and experienced developers alike. This course goes beyond the basics, guiding you through the essential concepts and techniques used by Data Analysts, Database Administrators, and Software Developers.

Dive into the world of relational databases with hands-on practice using MySQL Workbench. Learn to design efficient database schemas, write complex queries, and master crucial SQL syntax, including CRUD operations (INSERT, SELECT, UPDATE, DELETE), JOINs, aggregate functions, and more. We'll explore data types, keys, charsets, and collation, ensuring a thorough understanding of database management.

This course covers everything from database design using Enhanced Entity-Relationship (EER) diagrams to advanced query techniques. You’ll work with a practical employee database, allowing you to apply what you learn in a real-world scenario. Master normalization, optimize data structures, and build a strong foundation in relational database management systems (RDBMS).

Boost your career prospects by acquiring in-demand skills that are highly sought after across various industries. Whether your goal is data analytics, backend development, or database administration, this comprehensive SQL and MySQL course will equip you with the tools you need to succeed. Don't miss out; transform your data skills today!

Curriculum

Introduction to Databases and SQL

This introductory section lays the groundwork for your SQL journey. You'll begin by setting up your MySQL environment with a comprehensive installation guide and get acquainted with MySQL Workbench, the tool we'll use throughout the course. Lectures cover data normalization, a crucial concept for database design, and provide a general overview of SQL and relational database management systems (RDBMS). This section concludes with a discussion on the relationship between normalization and SQL. We cover concepts such as Data Normalization to create robust relational databases which allows to reduce data redundancy and enhance data integrity. You will start creating the foundational understanding required to master SQL and MySQL.

Data Definition Language (DDL): Building Your Database

This section delves into the Data Definition Language (DDL), the core of database creation and management. You’ll master commands for creating and dropping databases and tables, exploring different data types like VARCHAR, TEXT, CHAR, integers, floating-point numbers, and BIT. The section also covers crucial concepts such as character sets (UTF8MB4), collation, BLOB, ENUM, and SET. This is followed by detailed explanations of date and time data types and DEFAULT values. Extensive quizzes ensure you thoroughly grasp each topic.

Indexes, Keys, and Database Modification

Here, you'll learn about database indexes and keys—essential for efficient data retrieval. Topics include binary search, B-trees, primary and unique keys, NOT NULL constraints, foreign keys, and the ALTER statement for modifying database structures. The section culminates in a comprehensive review of how to construct any DDL statement. A practical exercise allows you to create your first database, solidifying your learning. The practical aspects of the course makes sure that you'll easily implement the concepts covered in real world situations.

MySQL Workbench and EER Diagrams

This section introduces you to MySQL Workbench and Enhanced Entity-Relationship (EER) diagrams, visual tools for database design. You'll learn to create EER diagrams, export DDL statements from them, and import and backup your database. A practical exercise challenges you to create an EER diagram for your own schema. This approach helps to build efficient and optimized databases, while also understanding how to efficiently import and manage data within the database.

Data Manipulation Language (DML): Working with Data

This section focuses on the Data Manipulation Language (DML), covering the essential commands for interacting with database data. You'll master INSERT, SELECT, UPDATE, and DELETE operations, learning to retrieve data using various WHERE clauses, comparison functions and operators, LIKE statements, and more. The section also covers advanced SELECT techniques such as ORDER BY, LIMIT, and subqueries. Quizzes throughout the section help reinforce your understanding of these DML concepts and practice real world scenarios of data management.

Advanced SQL Queries: Mastering SELECT

This advanced section focuses on powerful SELECT statements, including aggregate functions (COUNT, MAX, AVG, etc.), GROUP BY and HAVING clauses, and UNION operations. You will also learn the art of joining data from multiple tables using different JOIN types. This section will equip you to handle complex data queries and data relationships efficiently. The section culminates in a comprehensive final test which ensures your mastery of SQL queries.

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