SQL Bootcamp - SQLite - Hands-On Exercises
What you'll learn
- solve over 270 exercises
- deal with real programming problems
- work with documentation and Stack Overflow
- guaranteed instructor support
Requirements
- basic knowledge of databases, SQL and SQLite
Description
The "SQL Bootcamp - SQLite - Hands-On Exercises" course is an immersive, practical introduction to SQL programming using SQLite, a popular relational database system. This course is designed for both beginners with no prior knowledge of SQL, and seasoned developers looking to refine their skills or learn a new database system.
The course begins with a thorough introduction to SQLite, its architecture, and its place within the realm of SQL databases. You will learn how to set up and configure SQLite on your system, followed by an overview of database design principles and the SQL language.
The core part of the course comprises of extensive hands-on exercises. These exercises are specifically designed to facilitate learning through practice, enabling you to apply SQL concepts in real-world situations. You will learn how to create, update, and manipulate databases using SQLite, understand and implement complex queries, and get hands-on experience with transactions, indexing, and optimization for performance.
An essential feature of this course is its practical approach to learning. Rather than simply reading or listening to lectures, you will actively engage with the material by writing and executing SQL code. This allows for immediate feedback and iterative learning, helping to solidify your understanding of SQLite and SQL in general.
By the end of the "SQL Bootcamp - SQLite - Hands-On Exercises" course, you will have a strong grasp of SQL fundamentals, be confident in your ability to work with SQLite databases, and be well-equipped to tackle more complex SQL tasks and projects.
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:
- beginner or novice individuals who want to learn SQL from scratch and practice their skills with a hands-on approach using SQLite as the database management system
- students or individuals pursuing a degree or certification in database management or data-related fields who need practical exercises to reinforce their understanding and proficiency in SQL using SQLite
- professionals working with data or databases who want to enhance their SQL skills and gain experience in working with SQLite as a lightweight and easy-to-use database management system
- software developers or programmers who want to add SQL and database management skills to their toolkit and want to start with SQLite as a stepping stone
- self-learners or enthusiasts interested in databases and SQL, who want to practice creating, querying, and managing databases using SQLite as the backend
- recruiters or hiring managers who want to evaluate the SQL skills and competency of job candidates applying for database-related roles
Instructor
- 4.4 Instructor Rating
- 9,865 Reviews
- 398,178 Students
- 173 Courses
EN
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
PL
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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