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your-own-project's Introduction

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Welcome to Your Own Project!

Project Goals

  • Do the e2e analysis by your own.
  • Give some insights about a topic of your choice giving some arguments by:
    • Being able to transmit the analysis in an ordered way.
    • Using the statistical techniques learnt during the last weeks.
    • Plotting the graphs in a useful way for the reader / listener. Yes, no additional rules Jordi.
  • Present your analysis in two ways and for two different audiencies:
    • Technical audience: you will present a paper.
    • Non tech audience: you will do a short presentation.

Deliverables

  • A notebook with your analysis in a paper way. Jupyter or Zeppelin are allowed.
  • A 3' presentation in the auditorium.
  • Repository with your workflow + documentation + code. Even if you are working alone, you need to keep good practices!

The presentation

  • In the auditorium.
  • 3 minutes talk, 2 minutes questions. No more. Yeah, exactly.
  • The audience will evaluate their understanding on your presentation (this will help you in further presentations).

General schedule

Today

  • Think on a topic and propose some questions.
  • Choose the data interesting.
  • Look for documentation to give context to your project.
  • Write the README file in your repository.

Tuesday

  • Teachers validation --NO CODE UNTIL HERE--

Tuesday-Wednesday

  • Start importing the data and cleaning it.
  • Start the analysis. Remember all the techniques you have learnt.
  • Prepare a draft of your first slides presentation (no analysis or conclusions yet): title, motivation, context, ...

Thursday

  • First rehearshall. Take the feedback and use it!

Thursday - Next Tuesday

  • Finish the analysis. Finish the slides.

Tuesday

  • General rehearshall.

Tuesday - Wednesday

  • Last improvements.

Wednesday

  • Presentation!

General advices

  • Organize yourself (don't get lost!).
  • Ask for help vs Google is your friend.
  • Define a simple approach first. You never know how the data can betray you ;)
  • Documentate yourself. Know about the problem. Look for some analysis that someone did before you.
  • You can use the projects your partners did in the last week. You can't use your own project.
  • Before doing a graph, think what you want to represent.

Some inspiration

Explore the Google Trends

Hans Roslings's vizs

See an analysis about heart diseases

Your body's data

your-own-project's People

Contributors

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Watchers

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