📅 2025-03-11 — Session: Developed Comprehensive Educational Resources
🕒 00:10–01:40
🏷️ Labels: Educational Resources, Python, Postgresql, Data Visualization, Gui Tools
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The primary aim of this session was to develop comprehensive educational resources and exercises for programming and data science education, with a focus on Python and PostgreSQL.
Key Activities
- Created a Rich Educational Resource: Proposed a complete educational resource that includes exercises, teaching annotations, and thematic connections to aid educators.
- Simulated Expert Meeting: Discussed the creation of an enriched dataset for programming exercises, defining key fields to maximize utility for educators.
- Standardized Exercises: Presented standardized exercises for data manipulation and visualization using Pandas and Plotnine.
- Introduced Plotnine: Provided an introduction to Plotnine, a Python implementation of ggplot2, for creating declarative visualizations.
- Data Cleaning and EDA: Detailed the process of cleaning and exploratory data analysis (EDA) using Pandas on a university transportation survey dataset.
- PostgreSQL Exercises: Developed exercises for creating and managing databases in PostgreSQL, including basic SQL commands and advanced topics.
- Explored GUI Tools: Explored graphical interface tools for SQL in PostgreSQL, such as pgAdmin and DBeaver, and provided a quick guide for using DBeaver.
Achievements
- Developed a framework for educational resources that integrates programming exercises and data science concepts.
- Established a foundation for using GUI tools in database management education.
Pending Tasks
- Further development of advanced PostgreSQL teaching materials.
- Exploration of additional GUI tools for database management.