1. Discuss fundamental concepts of data science and its various applications.
  2. Definitions and key concepts in data science
  3. An overview of the data science process: data collection, data cleaning, data exploration, modeling, evaluation, and interpretation
  4. Different roles in data science: data analyst, data engineer, data scientist, etc.
  5. Basic tools used in data science: Python, R, SQL, etc.
  6. Applications and examples of data science in the real world

title: Weekly Agenda subtitle: baseline for weekly meeting agenda author: Thaddeus Thomas —

Each meeting can have a unique structure depending on the nature of that weeks session.

Example of weekly meeting

General framework to ensure meetings are well-organized and efficient.

One-hour meeting structure

  1. Introduction (5-10 minutes):
    • Welcome participants.
    • Share the agenda for the meeting.
    • Recap the last meeting (if applicable) and note any follow-ups.
  2. Main Agenda (40-45 minutes):
    • This is where the main activities of the meeting will take place.
    • For a workshop or lecture, this will include the main presentation and demonstration.
    • For a discussion, this may involve presenting the topic and then facilitating a group discussion.
    • For a hackathon or project showcase, this would include the actual work or presentations.
  3. Q&A/Discussion (5-10 minutes):
    • Reserve some time for attendees to ask questions or discuss the day’s topic further.
    • Encourage participation and interaction.
  4. Conclusion and Looking Ahead (2-3 minutes):
    • Wrap up the meeting and summarize key points.
    • Briefly mention what the next meeting will entail.
    • Thank everyone for their participation.