📅 2023-04-17 — Session: Structured Curriculum Design for Data Science Course
🕒 18:50–19:10
🏷️ Labels: Data Science, Course Design, Model Evaluation, Data Storytelling
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal:
The session aimed to design a structured curriculum for a comprehensive data science course, focusing on model evaluation, selection, and data storytelling.
Key Activities:
- Reviewed key topics and sub-items for model evaluation and selection, including metrics and techniques.
- Outlined a structured arrangement of data science sessions, detailing topics such as data collection, processing, visualization, modeling, and evaluation metrics.
- Proposed a coherent arrangement of sessions for model evaluation, covering aspects like model types, ensemble learning, and advanced topics.
- Developed a course outline dividing it into Fundamentals of Data Science and Model Evaluation and Validation.
- Suggested enhancements for data analysis course content, including time series analysis, data ethics, and big data analytics.
- Summarized sessions on data storytelling, focusing on communication, presentation techniques, and audience engagement.
Achievements:
- Established a comprehensive framework for a data science course.
- Identified key topics and methodologies for effective teaching.
Pending Tasks:
- Finalize session outlines and integrate feedback from stakeholders.
- Develop detailed lesson plans for each session.