Infrastructure

Main Infrastructure

  • MS teams : Join our MS our teams channel to get updates from us, Q&A, and talk to your peers.
  • Canvas : We will not use it from now on for content, but for the sake of completeness. However, you will still find your calendar there and we may use it from time to time to send out mass-mails to you all.
  • Datacamp : Get access to all the Datacamp premium content for free to facilitate your data science journey. Use your CBS mail here when signing up.

Adittional Infrastructure used

Data Science Cloud services

  • Collaborative coding and presentation
    • Github Provides internet hosting for software development and version control using Git. It offers the distributed version control and source code management (SCM) functionality of Git, plus its own features. It is also commonly used to host open-source projects, including data science projects. If you do not have it already, you are advice to create an account to manage and showcase your work during this semester.
  • Cloud-based computational notebook:
    • Google Colab: Googles popular service for editing, running & sharing Jupyter notebooks (Only Python Kernel, but R kernel can be accessed via some tricks). Has a pro version for some 10$ in case you need further ressources. You can also easily mount your google drive to directly acess your data.
    • Deepnote: New popular online notebook service with good integration to other services (Python, R & more)
    • Kaggle: Also provides their own cloud-based service co create and run computational notebooks. Convenient, unlimited, but a bit slow (Pyhton, R ).
  • Cloud-Computing UCLOUD: DK university collaboration for HPC. Apparently, CBS is now also on board (untested)

Getting started