📅 2023-04-17 — Session: Structured Planning for Data Science Sessions
🕒 15:50–16:00
🏷️ Labels: Data Science, Curriculum Planning, Web Scraping, Modeling, Data Visualization
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to outline and plan various educational modules related to data science, focusing on web interaction, data visualization, modeling, and model validation.
Key Activities
- Web Interaction and Data Formats: Discussed best practices for web scraping, API usage, and handling various data formats.
- [[Data Visualization]] and Analysis: Structured sessions on data visualization and exploratory data analysis, emphasizing visual design and best practices.
- Modeling Techniques: Outlined sessions covering types of models, model selection, development, evaluation, and deployment.
- Model Validation: Planned sessions on model validation techniques, including evaluation metrics and hyperparameter tuning.
Achievements
- Developed a comprehensive framework for educational sessions in data science covering a wide array of topics.
Pending Tasks
- Finalize detailed curriculum for each session and prepare necessary teaching materials.