Developed Python Exercises for Data Science Education

📅 2025-03-09 — Session: Developed Python Exercises for Data Science Education

🕒 22:25–23:05
🏷️ Labels: Python, Data Science, Education, Exercises, EDA, SQL
📂 Project: Teaching
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop and organize a comprehensive set of Python exercises for educational purposes, focusing on foundational skills relevant to data science.

Key Activities

• Curated a list of Python exercises designed to teach foundational Python skills relevant to data science, categorized by programming concepts.
• Compiled a comprehensive collection of Python exercises with one-liner solutions to encapsulate core programming concepts and logic.
• Developed an exercise for Exploratory Data Analysis (EDA) using a sample dataset, guiding students from initial understanding to data cleaning and visualization.
• Summarized practical exercises for data modeling using Entity-Relationship Diagrams (ERD), addressing constraints in relationships among various entities.
• Described an educational activity to introduce data manipulation in Python before using SQL databases, including filtering and restructuring tasks.
• Reflected on key lessons in data analysis teaching, proposing improvements using Pandas and SQL.
• Proposed a teaching strategy that introduces students to limitations first, then optimizes with appropriate tools like Pandas and SQL.
• Addressed a SQL query error in Python, explaining corrections using pandasql and DuckDB libraries.

Achievements

• Successfully curated and structured a diverse set of Python exercises and educational strategies for data science.

Pending Tasks

• Implement the proposed teaching strategies in actual classroom settings.
• Further refine and test the exercises with real student feedback.