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SQL Bootcamp – Hands-On Exercises – SQLite – Part II – 2022

Start your journey with SQL and databases. Solve over 150 exercises and open the door to a career in IT! (DDL + DML)
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Platform: Udemy
Video: 4h 9m
Language: English
Next start: On Demand

Table of contents

Description

Welcome to the SQL Bootcamp – Hands-On Exercises – SQLite – Part II course, where you can test your SQL programming skills.  This is the second part of the SQL Bootcamp – Hands-On Exercises series. The exercises in this part are mainly focused on creating DDL and DML 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.

You will 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

Requirements

• basic knowledge of SQL and SQLite
• basic knowledge of databases
• internet access

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
Python Developer/Data Scientist/Stockbroker
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[.]orgMiłośnik 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.
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Platform: Udemy
Video: 4h 9m
Language: English
Next start: On Demand

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