SQL Bootcamp - Hands-On Exercises - SQLite - Part I - 2023
What you'll learn
- 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
"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 - DQL" 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.
Who this course is for:
- 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
Python Developer/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata[.]org.
Data Scientist, Securities Broker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
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