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User:Groceryheist/drafts/Data Science Syllabus
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=== A5: Final project report === In the final report, I expect you to take feedback from your presentation and and report on your project in up to 3000 words. You can organize your paper however you want, but it should do the following: :* Introduce the organization or team you studied :* Document how you collected data with the team (who you interviewed or observed, for how long, describe their jobs and roles). :* Motivate your project in terms of your substantive interest, curiosity, and course concepts. :* Introduce and articulate a specific research question about how data science functions in this organization. This will often be driven by a particular challenge or issue the team you are studying faces. :* The bulk of your report (about 2000 words) should argue for an understanding of the research question based on ::* Your empirical findings: what you learned about the organization and the practice of data science from your own observations or interviews. Use anecdotes and quotes as appropriate to support your argument. ::* Any course material relevant to the challenge or issue at hand. :* Make recommendations to the organization based on your findings. Optionally, you may make recommendations to me about the course material in relation to this project. Was there anything that you expected to see based on the course material that you didn't observe? Was there anything interesting that you observed that the course didn't address? How might you improve the course given what you learned? ==== Evaluation and Rubric ==== :''Writing quality (see [[User:Benjamin Mako Hill/Assessment#Writing Rubric | the writing rubric]]): 15%'' :''Explaination and justification of a research question:'' 15% :''Presentation of evidence:'' 25% :''Findings:'' 25% :''Recommendations to the organization:'' 20% :''Course feedback (Extra credit):'' 3%
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