Title
Databases with Python: MySQL, SQLite & MongoDB with Python
Learn and understand how to work with SQL and NoSQL Databases with the Python Programming Language.

What you will learn
Build and Manipulate Databases with Python
Master SQL programming
Installing and using the MySQL tools
Using MySQL with Python
Create, insert, update, filter and delete records, tables and databases in SQL
Apply the SQL Commands in Python without installing programs
Using SQLite with Python
Master NoSQL programming
Installing and using the MongoDB tools
Using MongoDB with Python
Create, insert, update, filter and delete documents and collections in NoSQL
Get the instructor QA support
Why take this course?
π Welcome to the Databases with Python: MySQL, SQLite & MongoDB with Python Course! π
Course Introduction
Hey there, future database wizard! π§ββοΈβ¨
Are you ready to unlock the power of databases and enhance your Python skills? If so, you've landed in the right place! Databases are the heartbeat of any robust application, and understanding them is key to becoming a top-notch developer, engineer, or data scientist. With databases being in high demand across industries, mastering this skill can significantly boost your career prospects and salary potential.
Course Overview
In this comprehensive course, you'll dive deep into the world of databases with Python. We'll cover everything from the basics to advanced techniques, ensuring you become proficient in both SQL (Structured Query Language) and NoSQL paradigms.
What You'll Master:
- Build and Manipulate Databases with Python π
- Master SQL Programming with MySQL and SQLite
- Embrace NoSQL Programming with MongoDB
- Install and Use Database Tools efficiently
- Execute SQL Commands in Python without additional software installations
- Utilize SQLite for its lightweight and flexible nature π§©
- Leverage MongoDB's powerful features for large datasets and distributed data π
- Get Instructor QA Support to guide you through any roadblocks π οΈ
Databases Unveiled
At its core, a database is a structured way of storing information, ranging from personal tasks to enterprise-scale systems. Let's meet our key players:
MySQL: The Reliable SQL Database π±βπ«
- A popular, open-source relational database management system (RDBMS).
- Known for its reliability, performance, and ease of use.
- Based on structured query language (SQL), allowing complex data manipulation and retrieval.
SQLite: The Embedded SQL Database π οΈ
- A lightweight, serverless, and zero-configuration database.
- Highly portable and self-contained, with an easy installation process.
- Transactional, ensuring data integrity even in case of failures.
MongoDB: The Versatile NoSQL Database π
- A powerful, document-oriented NoSQL database.
- Designed for ease of development and scaling, supporting a variety of data models.
- Offers advanced features like ad-hoc queries, indexing, and load balancing.
Your Instructor: Ahmed Ibrahim π¨βπ»
I'm Ahmed Ibrahim, a seasoned software engineer and data science professional with a passion for teaching and sharing knowledge. As your course instructor, I'm here to guide you through this learning journey, answering any questions you might have along the way.
Ready to Dive In? ποΈ
Let's embark on this exciting journey together! With each step, you'll build a solid foundation in database management with Python, preparing you for the dynamic world of data handling and analysis. Whether you're starting out or looking to advance your skills, this course is tailored to help you succeed.
So, what are you waiting for? π Let's get started and transform the way you interact with data! Enroll now and unlock a new realm of possibilities with databases and Python. See you inside the course! πβ¨
Screenshots




Our review
Course Overview
- Rating: Global course rating is: 4.28
- Recent Reviews:
- The course provides a solid introduction to using MySQL, SQLite, and MongoDB with Python for basic CRUD operations.
- It is suitable for beginners but lacks depth in advanced features like joins and complex queries, which are essential for proficiency in database management.
- Some reviews suggest renaming the course to reflect its introductory nature and recommend an advanced module for deeper learning.
- The instruction is clear, with instructors repeating concepts for clarity, which is both a strength and a point of contention regarding redundancy.
Pros
- β Clear Explanations: The course explains concepts in a simple, understandable manner.
- β Beginner Friendly: Ideal for beginners who are new to databases and Python.
- β Hands-On Learning: Utilizes Jupyter Notebooks effectively for practical application.
- β Engaging Presentation: Videos strike a balance between being informative and concise, with excellent presentation quality.
- β Well-Structured Content: The course content is well-organized and covers the necessary basics of each database system.
- β Positive Community Support: Learners gain proficiency through projects and community engagement.
Cons
- β Superficial Treatment: Offers only a basic overview, lacking in-depth coverage of advanced topics.
- β Redundant Content: Repeated explanations could be condensed to save time without losing essential information.
- β Lack of Advanced Topics: Does not cover joins or complex queries, which are crucial for understanding database relationships and data manipulation.
- β Potential Improvements: Some reviews suggest including stored procedures execution from the front-end and more advanced practices.
- β Language Issues: There are some concerns about the clarity of English used in the course.
- β Installation Guidance: Up-to-date guidance on installing MySQL, especially for newer versions, is recommended.
- β Desire for Additional Examples: Some learners felt there could have been more examples or recommendations for further study.
Additional Feedback
- The course would benefit from a focus on best practices, such as handling database connections and understanding data types and dependencies.
- Some learners enjoyed the simplicity of the course and would like to take more courses from the same instructor.
- The course could be improved by addressing specific issues like explaining the differences in installing MySQL across versions and providing tips and tricks to enhance learning.
Final Verdict
The course is a good starting point for beginners who wish to learn about databases with Python. However, it is recommended for learners to seek additional resources if they aim to gain a deeper understanding of database management systems. The course's strength lies in its clear and didactic approach to teaching the basics, but advanced users will need more comprehensive training.
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