110+ Exercises - Python + SQL (sqlite3) - SQLite Databases
What you'll learn
- projects: E-learning platform, Company database, Forum application
- solve 110+ exercises with SQL and Python
- Python + SQL (sqlite3) + csv
- Python + SQL (sqlite3) + pandas
- User-defined SQL functions
- deal with real programming problems
- work with documentation and Stack Overflow
- guaranteed instructor support
Requirements
- completion of all courses in the Python Developer learning path
- completion of all courses in the SQL Developer learning path
- I have courses which can assist in obtaining all the necessary skills for this course
Description
Welcome to the 110+ Exercises - Python + SQL (sqlite3) - SQLite Databases course, where you can check your programming skills in Python and SQL. This course is designed for people who have basic knowledge in Python and SQL. It consists of over 110 exercises with solutions.
During this course you will be able to test your programming skills in Python and SQL (SQLite). This is a great test for people who want to become a Python Developer and are looking for new challenges. Exercises are also a good test for an interview. Many popular topics were covered in this course. Before taking the course, please make sure that you meet the requirements.
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 practice SQL and Python
- everyone who wants to learn by doing
- everyone who wants to prepare for an interview
- data scientists / data analytics / machine learning engineers
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
- 4,538 Reviews
- 200,807 Students
- 75 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