Developed comprehensive database and data analysis exercises
- Day: 2025-03-11
- Time: 01:35 to 03:00
- Project: Teaching
- Workspace: WP 2: Operational
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Database Management, Data Science, SQL, Education, Python
Description
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.
Evidence
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- event_ids: []