14 Finals Week
TL;DR: finish the second half of your final, record a presentation, pack it up you’re done with everything!
readings (links) & lectures ～ assignments due ～ live session agenda
Figure 36: The Final Sprint!
The end is in sight! Just a few more hurdles, including these two separate evaluations:
End of Term Survey (2U)
Please locate your personal survey link in your email:
- You can find your program end of term survey in your email inbox with the subject line of
datascience@berkeley Spring 2018 End of Term Survey.
Course Evaluation (UC)
- To complete your course evaluation, please click on this link: http://course-evaluations.berkeley.edu
Starter Prompt
Here is my interpretation of the story structure of the original prompt, which itself has evolved term over term. It isn’t set in stone! It’s important that you develop your own intution and checklist for assessing data science quality.
Act I (DSM Criteria: Decision Making, Organizational Design)
- You’ll select a domain of interest and explore the current state of data science in that domain. What are analysts currently doing with data, and what do you think they could or should be doing? You’ll identify what types of difficult and important questions confront decision makers in that domain and what data they may now be using to address those questions.
- Using that as background, you’ll select one question you believe data scientists in this domain should explore…
Act II (DSM Criteria: Research Design)
- …and then detail how you would design a study to address that question with data science in a manner that would aid decision makers.
- Tell us about how you would acquire the needed data and, if appropriate, the ethical and legal issues of using this data.
- Propose how you would design and conduct the study,…
Act III (DSM Criteria: Conveying Findings, Scope)
- …convey your findings to relevant audiences, and persuade decision makers to act differently on the basis of your (prospective or retrospective) findings.
- Outline potential risks for this project, such as data access or data quality challenges, as well as organizational and decision impediments to action, and describe your contingencies given these risks.
- Last, propose future questions you could address with findings from this study.
Your rewritten prompt may now be very different, and that’s good. Your presentation and writing may already be diverging from your rewritten prompt. That’s good too! What you do is always an adaptation of what you intended to do. Each write up will be different; the right structure for your story can only be revealed by trying to write it.
Readings
None! You’re all finished with async.