How to Present Your Data Science Projects
How to Present Your Data Science Projects
As a data science practitioner, you will often be required to present the insights from your projects to various stakeholders like your team members, company executives, product managers, software engineers, external clients, etc.
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Follow these steps to present your data science projects:
Step 1 — Understand your audience and their goals
Who are you presenting to? What do they do? Why are they attending?
List the questions they are looking to answer by attending your presentation
Avoid technical jargon or code if your audience won’t understand it
Step 2 — Create a compelling slide deck for your project
Create a clean and simple slide deck with a clear outline and large headings
Use images, illustrations, screenshots, and graphs to convey your insights
Keep text on slides to a minimum (<15 words). Provide details while speaking
Step 3 — Prepare, practice, and improve your presentation
Add speaker notes on each slide & prepare a rough script for what you’ll say
Deliver the presentation to friends/colleagues and ask for feedback/comments
Fix errors, improve the flow, add slides for clarity, remove slides for brevity
Step 4 — Use proper settings for audio, video, and screen share
Ensure you’re in a quiet environment & use an external headset/mic
Ensure proper lighting on your face, and blur/replace your background
For screen share, quit all applications, turn off notifications & use 2x zoom
Step 5 — Deliver your presentation! (live or recorded)
Present your slides in full screen. Show web pages, code, etc. if required
Don’t speak too fast (people will lose track) or too slow (you’ll run out of time)
Reiterate important takeaways at the end of your presentation
Step 6 — Engage your audience with polls, Q&A, and feedback
Conduct poll using tools like www.sli.do or Zoom chat
Pause at regular intervals to answer audience questions
Ask open-ended questions and encourage discussion of ideas
Send us your recorded presentations at community@jovian.ai, and we’ll publish the best submissions on our YouTube channel.
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