Version Control For Data Science

Version Control For Data Science Information Guide

1. Background of Version Control For Data Science
2. Important Facts
3. Latest News
4. Deep Dive
5. Conclusion

Background of Version Control For Data Science

Speaker: Alessia Marcolini Track:PyData Are you versioning your Machine Learning project as you would do in a traditional ... In this code-free, five-minute explainer for complete beginners, we'll teach you about This hands-on workshop led by DSI's Associate Director for the Humanities and Professor of English Dr. Carl Stahmer will cover ... This tutorial is for total beginners to get started using DVC and Git to IITM - AI-Powered Cloud Computing and DevOps Certification Program (India Only) ... In this session, Alex Kim, teaches us how to manage and make your machine learning projects reproducible with open-source tool ...

In this video I give a high level overview of git and github for Based in San Francisco, Iterative.ai is the company behind the development of DVC and CML, open-source tools to streamline the ...

Important Facts

Latest News

Versioning Data with DVC (Hands-On Tutorial!)

What Is Version Control? | Git Version Control | Version Control In Software Engineering|Simplilearn

Version Control for Data Scientists

Version Control for Data Science

Machine Learning Data Version Control (DVC): Reproducibility and Collaboration in your ML Projects

Introduction to Version Control using Git for (Data) Scientists (Spring 2021)

Data Management: Version Control

Tutorial: Version control for scientists Part 1: Git & GitHub

git for Data Science Made Simple... (Hopefully)

Introduction to Version Control using Git for (Data) Scientists (Fall 2021)

MLOps Training (Class-3): Data Version Control with DVC & Git

Introduction to Version Control using Git for (Data) Scientists (Fall 2020)

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: May 21, 2026

Conclusion

Disclaimer: