P3: Project Presentations
Each team will prepare and deliver a 15-minute presentation describing
your course project. The goal of the presentation is to explain to
others the topic you investigated, including the questions you hoped
to answer, the data you collected to answer them, your results, and
any lessons you learned from carrying out the study. Your target
audience is like-minded data scientists, so please feel free to
include details of your data collection and analysis efforts whenever
they would enlighten the discussion.
Note: attendance to class during both days final presentations is mandatory and will be counted as part of your grade.
Presentations are scheduled on the final two class sessions. Here is the schedule:
Monday, April 30
Thursday, May 3
Your presentation should cover the following topics:
- Topic description, including:
- Motivating questions
- Data sources used
- Data collection efforts
- What data was fetched (e.g., what did you query the API for, not only that you queried the API)
- How was the data stored
- Creating derivative data
- Any unexpected challenges, along with any adaptations to your plan based on the
- Explain how the data supports or refutes the questions you investigated
- Present and explain key graphs
- Conclusions and future work
- Restate your key findings
- If you were to continue working on this topic, what would you do next? Collect more data? What kind? Different types of analysis?
All project members should speak during the presentation in roughly equal proportion. How you divide up responsibility is up to you. You may use presentation slides if you wish. If you have a working prototype of any graphs using the Google Chart Tools, you may demonstrate those as well. Please note that this is not required, however, as the assignment is not due until after the presentations are finished.