📅 2024-04-10 — Session: Developed Curriculum for Data Science and SQL Classes
🕒 03:00–04:40
🏷️ Labels: Data Science, SQL, Education, Curriculum Design, Python, Pandas
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal:
The session aimed to develop and outline curricula for various data science classes, focusing specifically on Python, Pandas, and SQL.
Key Activities:
- Designed a slide structure for a data science class using Python and Pandas, detailing objectives, content, and teaching methodology.
- Outlined strategies for contextualizing a data management class, emphasizing the relevance of data skills and their interdisciplinary nature.
- Created a theoretical class design focused on efficient interaction, suggesting specific pedagogical approaches.
- Proposed a detailed structure for a theoretical SQL class, highlighting its importance in data science and providing a comprehensive content scheme.
- Developed an introductory script for a presentation on SQL, covering its history, relevance, and comparisons with NoSQL.
- Compiled potential interview questions for database programmers, including guidance on topics like entity-relationship models, relational algebra, normalization, and SQL vs NoSQL.
- Explained the transformation of entity-relationship models to relational models in database design, focusing on primary keys, foreign keys, and normalization.
Achievements:
- Completed the design and structure for multiple data science and SQL classes.
- Developed comprehensive guides and scripts for teaching and presentation purposes.
Pending Tasks:
- Finalize the presentation slides for each class.
- Review and integrate feedback from peers or educational experts to refine the curricula.