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Dive into Hands-On Exercises with SQLite and DQL - Unlock the Power of Data Querying and Manipulation!
54.738 Students
2h17min
Beginner4.9
solve 150 exercises using the SQL language
test yourself in DQL (Data Query Language)
test yourself in creating and executing database queries
test yourself in sorting, filtering and grouping data
test yourself in joining tables and creating subqueries.
test yourself in creating complex queries
deal with real programming problems
work with documentation and Stack Overflow
guaranteed instructor support
basic knowledge of SQL and SQLite
beginners or individuals with limited knowledge of SQL who want to learn and practice SQL queries specifically focused on data retrieval (DQL) using SQLite
students or individuals pursuing a career in data analysis, data engineering, or database administration who need a strong foundation in SQL and want to gain practical experience in writing DQL queries
database developers or programmers who want to expand their SQL skills and learn how to query and manipulate data in SQLite databases
professionals working with data in various roles who want to improve their data analysis and querying skills using SQL and SQLite as a database management system
self-learners or enthusiasts who are interested in SQL and want to develop their proficiency in data retrieval by solving hands-on exercises in SQLite
individuals who are considering using SQLite as a lightweight database solution and want to understand and practice DQL queries for data retrieval
"SQL Bootcamp - Hands-On Exercises - SQLite - Part I" is a robust, hands-on course designed to impart practical knowledge of the Data Query Language (DQL) aspect of SQL using SQLite. This course is perfect for learners at all levels seeking to solidify their understanding of SQL and database interactions using SQLite.
The DQL portion of SQL is concerned primarily with retrieving data from a database. This is a critical skill for any database interaction, including roles like database administrators, data analysts, and back-end developers.
The course is divided into several sections, each focusing on different aspects of DQL such as SELECT statements, WHERE clause, ORDER BY clause, LIMIT clause, and various SQL functions. The course starts with the basics of retrieving data from a single table, and progressively covers more complex queries involving multiple tables and subqueries.
Every section includes a plethora of hands-on exercises designed to apply and reinforce the principles taught. The exercises present a mix of simple to complex real-world scenarios, ensuring learners thoroughly understand how to retrieve and manipulate data using DQL.
Upon completion of each exercise, learners are provided with detailed solutions, allowing them to compare their approach with the provided solution, further enhancing their understanding and command of DQL in SQLite.
The "SQL Bootcamp - Hands-On Exercises - SQLite - Part I" course is ideal for anyone looking to master the art of querying data from a relational database using SQL. Whether you're a total beginner, a data enthusiast, or a seasoned professional looking to refresh your DQL skills, this course offers an immersive learning experience.
SQLite - Lightweight Database Powerhouse!
SQLite is a lightweight, serverless, and self-contained relational database management system. It is widely used as an embedded database in various applications due to its simplicity, small footprint, and high performance. SQLite stores the entire database in a single file, making it easy to deploy and manage without requiring a separate server process.
Despite its compact size, SQLite supports a full range of SQL features and provides ACID (Atomicity, Consistency, Isolation, Durability) compliance. It offers a reliable and efficient way to store and retrieve structured data, making it suitable for small to medium-sized applications, mobile devices, and embedded systems.
With SQLite, developers can create tables, define relationships, and execute SQL queries to perform various operations such as inserting, updating, deleting, and querying data. It supports common data types, transactions, indexes, and triggers, enabling efficient data manipulation and retrieval.
SQLite integrates seamlessly with different programming languages, including Python, C, C++, and more, making it highly versatile and widely adopted. It is used in a wide range of applications, such as mobile apps, desktop software, web browsers, IoT devices, and data analysis tools.
In summary, SQLite provides a lightweight and efficient solution for managing relational databases without the need for a dedicated database server. It offers simplicity, flexibility, and reliability, making it a popular choice for applications that require local data storage and retrieval.
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