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
This 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 this 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: Simple, Fast, and Reliable Data Storage
SQLite is a lightweight, embedded SQL database engine designed for efficiency and ease of use. It operates without the need for a separate server process, making it ideal for desktop applications, mobile apps, and small-scale data management. With zero configuration, full ACID compliance, and a minimal footprint, SQLite offers robust performance and reliability for local data storage needs.
Who this course is for:
- Aspiring Data Analysts and Data Scientists
- Software Developers and Engineers
- Database Administrators (DBAs)
- Business Intelligence (BI) Professionals
- Computer Science and IT Students
- Technical Project Managers and Product Owners
- Career Changers and Self-Learners
Instructor
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.
Założyciel platformy e-smartdata