📅 2024-04-09 — Session: Developed Practical Exercises for Data Science Education
🕒 18:55–22:38
🏷️ Labels: Data Science, Education, Pandas, Practical Exercises, Curriculum
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal:
The session aimed to develop and refine practical exercises and projects for data science education, focusing on enhancing students’ practical skills and understanding of data manipulation, analysis, and visualization.
Key Activities:
- Explored strategies for claiming traffic fines in Argentina, including legal considerations and evidence preparation.
- Created a detailed plan for a competitive exam in computer science, covering topic selection and exercise design.
- Developed recommendations for preparing and presenting classes for competitive exams, emphasizing pedagogical strategies.
- Structured a 3-hour class on data processing techniques using tools like Pandas, SQL, and MongoDB.
- Proposed practical exercises for data science, including complex data processing tasks with Pandas and projects focusing on web scraping and database implementation.
- Integrated ‘10 Minutes to Pandas’ into the curriculum to foster active learning and critical thinking.
Achievements:
- Designed a comprehensive set of practical exercises and projects for data science students.
- Clarified the pedagogical approach for teaching data manipulation and analysis using Pandas.
Pending Tasks:
- Finalize the curriculum details for the proposed practical exercises and projects.
- Prepare supporting materials and resources for the data science classes.
- Schedule sessions to implement and test the new exercises in a classroom setting.