📅 2024-04-09 — Session: Developed Comprehensive Data Science Curriculum
🕒 18:55–22:38
🏷️ Labels: Data Science, Education, Curriculum, Pandas, Practical Skills
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal: The session aimed to develop a comprehensive curriculum for teaching data science, focusing on practical skills and advanced techniques.
Key Activities:
- Explored legal advice on traffic violations and payment discounts, providing insight into legal frameworks and implications.
- Detailed a meticulous strategy for contesting traffic violations in Argentina, including evidence preparation and legal considerations.
- Developed a detailed plan for preparing competitive exams in Computer Science, focusing on practical work and teaching strategies.
- Proposed multiple practical work projects (TPs) for data science education, emphasizing hands-on skills, data manipulation, and analysis using tools like Pandas, SQL, and visualization libraries.
- Integrated ‘10 Minutes to Pandas’ into the curriculum to enhance active learning and critical thinking.
- Provided educational resources for teaching data manipulation and visualization, ensuring a robust learning framework.
Achievements:
- Created a structured approach for teaching data science, integrating practical exercises, theoretical lessons, and resource recommendations.
- Enhanced the curriculum with advanced projects focusing on unstructured data analysis, web scraping, and ethical data handling.
Pending Tasks:
- Finalize the integration of proposed practical projects into the curriculum.
- Review and refine the educational resources to align with the curriculum objectives.