Course prerequisites

Required prior knowledge

Programming with Python

• The course will be taught using Python. So you will need to have experience with python programming (e.g. having attended the NBIS workshop Introduction to Python - with application to bioinformatics or equivalent)

  Statistics and Machine Learning 

• You need to have previous experience in the fields of Statistics and/or Machine Learning (e.g. having attended the NBIS Biostatistics and Machine Learning Workshop or equivalent)

Command line on UNIX/Linux/MacOSX/Windows

• Regardless of your operative system, you need to:
  
  • Have a version of Anaconda/Miniconda installed on your system
  • Be able to use Anaconda prompt (Windows users only)
  • Be able to launch scripts and software from command line
    • Unix, Linux and MacOSX already have a terminal app installed (on MacOSX, you can find it by searching for "Terminal" in the launch pad).
    • On Windows, you may use, e.g., PowerShell... TBA

Recommended prior knowledge

Jupyter Notebooks (recommended)

• While we will give a brief introduction to Jupyter Notebooks, you will benefit more if you get acquainted with using these notebooks in advance.
  • Check this tutorial Links to an external site. if you don't know where to begin

Anaconda/Miniconda (recommended)

• Necessary packages and softwares needed to run the course practical exercises will be installed through conda. We recommend you know how to install/uninstall packages and environments under conda before the course.
  • If you don't know where to begin, check this tutorial Links to an external site.