This is it! You've made it to the finish line. Now that you've finished cleaning, modeling, and tuning your data, you'll need to present your results. Whether during an interview or as part of a job, you will frequently have to present your findings to business partners and other interested parties - many of whom won't know anything about data science!
That's why for Part 5, you'll create a 10-15 minute presentation that delivers the most important insights from your project to a potential audience of non-technical stakeholders. You've already done the analytical work, so now it's time to explain your findings for others.
Come up with a detailed slide deck that explains your data, visualizes your model, describes your approach, articulates strengths and weaknesses, and presents specific recommendations. Make sure to review your goals, assumptions, and limitations, and convey your work with visualizations, graphics, and storytelling techniques. You'll also want to include an appendix that summarizes the more technical aspects of your work.
Finally, be prepared to explain and defend your model to an inquisitive audience!
Goal: A public presentation of your project, including an explanation of your model and findings for non-technical audiences.
Your presentation must:
- Describe your project in a 10-15 minute presentation
- Use visuals, graphics, & storytelling techniques
- Answer audience questions about your data, model, and findings
Specifically, the content of your presentation presentation should:
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Review your topic and problem statement
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Define your goals and success metrics
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Discuss your analysis and modeling approach in layman's terms
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Clarify any assumptions and model limitations
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Present insights and findings from your data
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Create audience-tailored recommendations based on your findings
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Include a technical appendix
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Bonus:
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Create an interactive demo of your data
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Describe how you could validate your model's performance over time
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Explain how you would deploy your model in a production environment
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Share or adapt your presentation materials into a final blog post that describes your goals, criteria, model, findings, and recommendations for a non-technical audience. Link to it in your presentation appendix.
- A slide deck (or interactive demo) presentation of 10-15 minutes, including:
- Requirements listed above + relevant visuals
- Presentations should be prepared for the end of Week 12.
- Work backwards to consider what your audience values and needs to know
- Don't just assume that your explanations are clear - test your results on others and see what makes sense!
- Include more visuals (and less text) than you think.
- Don't just read your presentation - deliver it!
- Best Practices for Visualization
- Importance of Storytelling w Data - Tableau Whitepaper
- Sample PT Data Science Projects from other GA students
Attached here is a complete rubric for this project.
Your instructors will score each of your technical requirements using the scale below:
Score | Expectations
----- | ------------
**0** | _Incomplete._
**1** | _Does not meet expectations._
**2** | _Meets expectations, good job!_
**3** | _Exceeds expectations, you wonderful creature, you!_
This will serve as a helpful overall gauge of whether you met the project goals, but the more important scores are the individual ones above, which can help you identify where to focus your efforts for the next project!