SQL Bootcamp - Hands-On Exercises - SQLite - Part II
What you'll learn
- solve over 150 exercises in SQL and databases
- test yourself in DDL (Data Definition Language) and DML (Data Manipulation Language)
- test yourself in creating tables
- test yourself in defining column/table constraints
- test yourself in working with master and foreign keys
- test yourself in inserting, modifying and deleting records
- test yourself in creating views, triggers
- work with documentation and Stack Overflow
- deal with real programming problems
- guaranteed instructor support
- basic knowledge of SQL and SQLite
- basic knowledge of databases
The "SQL Bootcamp - Hands-On Exercises - SQLite - Part II" course is a comprehensive learning resource intended to impart hands-on knowledge of the Data Definition Language (DDL) and Data Manipulation Language (DML) components of SQL, using the SQLite database engine. This course is perfect for students at any stage of their SQL journey, aiming to bolster their understanding and skills in handling databases.
DDL is used for defining and managing structures of databases and objects, including operations like CREATE, ALTER, and DROP. On the other hand, DML focuses on managing data within these structures, involving operations like SELECT, INSERT, UPDATE, and DELETE.
The course is divided into several sections, each tackling a specific aspect of DDL or DML. It starts with creating and modifying database structures with DDL, then transitions to data insertion, retrieval, and modification using DML.
To provide a robust learning experience, each section comes packed with numerous hands-on exercises designed to apply and reinforce the principles learned. These exercises cover various scenarios, ranging from simple data retrieval to complex data manipulation tasks. Each exercise is accompanied by a detailed solution to enhance your understanding and proficiency in DDL and DML.
The "SQL Bootcamp - Hands-On Exercises - SQLite - Part II" course is a valuable resource for anyone looking to enhance their skills in managing database structures and manipulating data. Whether you're a novice to SQL, a data enthusiast, or a professional developer, this course offers an enriching 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:
- intermediate SQL learners who want to expand their knowledge and skills in database design and data manipulation using SQLite
- students or individuals pursuing a career in database administration, data engineering, or software development who need a solid understanding of SQL's Data Definition Language (DDL) and Data Manipulation Language (DML) using SQLite
- database developers or programmers who want to deepen their understanding of SQL and learn how to create and manage database objects, as well as manipulate data using SQLite as the database management system
- professionals working with databases who want to enhance their skills in creating tables, defining relationships, and performing data manipulation tasks using SQL and SQLite
- self-learners or enthusiasts who are interested in SQL and want to practice designing databases, creating tables, and manipulating data through hands-on exercises using SQLite
- individuals who are considering using SQLite as a database solution and want to learn the essentials of DDL and DML for database management and data manipulation
Python Developer/AI Enthusiast/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
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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