📅 2025-03-11 — Session: Developed comprehensive database and data analysis exercises
🕒 01:35–03:00
🏷️ Labels: Database Management, Data Science, SQL, Education, Python
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and refine educational exercises focused on database management, modeling, and data analysis using various tools and languages.
Key Activities
- Introduced pgAdmin for querying PostgreSQL databases, emphasizing practical skills for a Data Science course.
- Conducted a practical exercise comparing Pandas and SQL operations in Jupyter Notebook to highlight syntax and performance differences.
- Designed a database modeling exercise using DBML, focusing on ER diagrams and SQL schema generation.
- Developed a workflow for normalizing a geographic dataset from the 2010 Argentina Census in BigQuery.
- Compiled SQL and Python snippets for data transformation and visualization using Pandas and Seaborn.
- Created a series of exercises for database modeling and SQL querying, covering various scenarios like sports leagues and airline databases.
Achievements
- Successfully outlined a comprehensive set of exercises and guides for teaching database management and data analysis.
- Enhanced educational content with practical exercises that bridge theoretical knowledge with hands-on application.
Pending Tasks
- Review and optimize the exercises for clarity and instructional effectiveness.
- Translate exercises where necessary to ensure accessibility for non-English speakers.