Artwork

Content provided by Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

How to Effectively Structure Data Science Projects in R (Episode 11)

21:36
 
Share
 

Manage episode 378107580 series 3515392
Content provided by Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, Paolo and Thomas dive into the fundamental principles for a well-structured data science project. These include practical advice on:

• organizing files into folders,

• documenting and commenting code,

• using version control systems and much more.

Although the episode focuses on applying these fundamental principles in R projects, you want to apply the same principles to any Data Science project, regardless of the language used.

Further resources:

Advanced R 2nd Ed. (http://adv-r.hadley.nz)

R for Data Science 2nd Ed. (http://(r4ds.hadley.nz)

  continue reading

24 episodes

Artwork
iconShare
 
Manage episode 378107580 series 3515392
Content provided by Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, Paolo and Thomas dive into the fundamental principles for a well-structured data science project. These include practical advice on:

• organizing files into folders,

• documenting and commenting code,

• using version control systems and much more.

Although the episode focuses on applying these fundamental principles in R projects, you want to apply the same principles to any Data Science project, regardless of the language used.

Further resources:

Advanced R 2nd Ed. (http://adv-r.hadley.nz)

R for Data Science 2nd Ed. (http://(r4ds.hadley.nz)

  continue reading

24 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play