What will you learn in Using Databases with Python Course
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How to design and manage relational databases in Python.
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Using SQLAlchemy to connect Python applications with databases.
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Writing and optimizing complex SQL queries.
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Handling many-to-many relationships and database normalization.
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Testing and integrating database operations into real-world Python projects.
Program Overview
Module 1: Introduction to Relational Databases
⌛ 1 week
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Topics: Understanding database architecture, relational models, and primary/foreign keys.
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Hands-on: Set up SQLite and connect it with Python.
Module 2: SQL Basics and Queries
⌛ 1 week
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Topics: Writing SELECT, INSERT, UPDATE, DELETE queries; filtering and sorting data.
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Hands-on: Practice basic SQL commands in SQLite through Python scripts.
Module 3: Advanced SQL & Joins
⌛ 1 week
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Topics: INNER JOIN, LEFT JOIN, RIGHT JOIN, and multi-table queries.
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Hands-on: Build reports combining data from multiple tables.
Module 4: SQLAlchemy ORM
⌛ 1 week
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Topics: Using SQLAlchemy for object-relational mapping, defining models, and CRUD operations.
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Hands-on: Map Python classes to database tables and perform operations.
Module 5: Relationship Modeling & Normalization
⌛ 1 week
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Topics: Relationship modeling, complex queries, and database normalization.
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Hands-on: Implement many-to-many relationships in SQLAlchemy and test with Python scripts.
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Job Outlook
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Relational database skills are in high demand across industries.
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Career growth in backend development, data engineering, and analytics.
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Average salary for Python database developers: $80,000–$110,000/year.
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Opportunities for freelance database design and maintenance work.
Explore More Learning Paths
Expand your Python programming expertise by mastering database integration, SQL, and data management to handle real-world applications and data-driven projects.
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Database Design and Basic SQL in PostgreSQL Course – Gain hands-on experience designing databases and writing SQL queries in PostgreSQL.
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Databases and SQL for Data Science with Python Course – Combine Python and SQL skills to manipulate, analyze, and extract insights from databases for data science projects.
Related Reading
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What Is Data Management? – Understand the principles of managing and organizing data efficiently for business and technical applications.
