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Python Apps with SQLite Course Overview

Python Apps with SQLite Course Overview

The "Python Apps with SQLite" course is designed to equip learners with the skills to integrate SQLite databases into their Python applications. This comprehensive course covers various aspects of database management, starting with Module 1: SQLite: Retrieve Data, where students learn to perform Queries and extract information efficiently. Lessons in this module range from basic SELECT statements to more complex JOIN operations.

Module 2: SQLite: Insert, Update and Delete focuses on data manipulation, teaching students how to add, modify, and remove data from their databases. The lessons here are hands-on, ensuring learners can perform CRUD (Create, Read, Update, Delete) operations with confidence.

Module 3: SQLite: Other Considerations dives into advanced topics like Indexing, Transactions, and Database optimization. Lessons here prepare students to manage performance and maintain the integrity of their databases.

By the end of the course, learners will be well-versed in using SQLite with Python, enabling them to create robust, scalable applications. This knowledge is crucial for anyone looking to enhance their programming abilities or work on data-driven projects.

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Target Audience for Python Apps with SQLite

  1. Koenig Solutions' "Python Apps with SQLite" course offers practical skills in database manipulation for aspiring developers and IT professionals.


  2. Target audience for the course:


  • Software Developers
  • Application Developers
  • Python Programmers
  • Database Administrators
  • Data Analysts
  • IT Professionals looking to enhance their database skills
  • Computer Science Students
  • Individuals interested in developing Python-based applications with database integration
  • Tech-savvy Entrepreneurs who manage their own app development


Learning Objectives - What you will Learn in this Python Apps with SQLite?

  1. This course equips learners with essential skills to utilize SQLite for data manipulation and management in Python applications.

  2. Learning Objectives and Outcomes:

  • Understand the basics of SQLite and its role in data storage for Python applications.
  • Learn how to retrieve data from SQLite databases using Python.
  • Master the SQL syntax for SELECT statements, including filtering, sorting, and aggregating data.
  • Gain proficiency in inserting new data into SQLite databases with Python.
  • Develop the skills to update existing records in SQLite tables through Python.
  • Acquire the ability to delete data from SQLite databases using Python commands.
  • Explore transaction management to maintain data integrity during insert, update, and delete operations.
  • Understand the importance of database indexing for optimizing query performance.
  • Learn best practices for database schema design and data normalization in SQLite.
  • Familiarize with advanced SQLite features and how to integrate them into Python applications.

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