SQL Bootcamp - Hands-On Exercises - SQLite - Part I - 2022
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
Requirements
- basic knowledge of SQL and SQLite
- internet access
Description
Welcome to the SQL Bootcamp - Hands-On Exercises - SQLite - Part I course where you can test your SQL programming skills. This is the first part of the SQL Bootcamp - Hands-On Exercises series. The exercises in this part are mainly focused on creating DQL queries to the database.
The course is designed for people who have basic knowledge in SQL and it consists of over 150 exercises with solutions.
This is a great test for people who are learning SQL and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course. Knowledge of SQL is one of the most desirable technical skills on the job market. If you're wondering if it's worth taking a step towards SQL and databases, don't hesitate any longer and take the challenge today.
SQLite
SQLite is an in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. The code for SQLite is in the public domain and is thus free for use for any purpose, commercial or private. SQLite is the most widely deployed database in the world with more applications than we can count, including several high-profile projects.
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file. The database file format is cross-platform - you can freely copy a database between 32-bit and 64-bit systems.
Who this course is for:
- everyone who wants to test knowledge of SQL and databases
- everyone who wants to learn by doing
- web developers / mobile developers / data analysts / data scientists
Instructor
![Paweł Krakowiak](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.6 Instructor Rating
- 4,499 Reviews
- 196,806 Students
- 74 Courses
EN
Python Developer/Data Scientist/Stockbroker
Founder at e-smartdata[.]org.
Big fan of new technologies!
Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization.
Graduate of MA studies 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.
Stockbroker license holder (no 3073).
Lecturer at the GPW Foundation (technical analysis, behavioral finance and portfolio management).
PL
Data Scientist, Securities Broker
Założyciel platformy e-smartdata[.]org
Miłośnik nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python oraz rozwiązań chmurowych.
Absolwent podyplomowych studiów na Polsko-Japońskiej Akademii Technik Komputerowych na kierunku Informatyka, spec. Big Data.
Absolwent studiów magisterskich z matematyki finansowej i aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego.
Od 2015 roku posiadacz licencji Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073).
Wykładowca w Fundacji GPW prowadzący szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych.
Z doświadczeniem w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką.
Główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
IG: e_smartdata