Python II (May 2025)
A 3-day workshop on how to perform data analysis in the Python coding language
The course will familiarize participants with the use of python as a basic data science tool, with a focus on the scikit-learn library. It combines exercises on data modelling tasks with brief theoretical introductions to the different types of models (supervised and unsupervised), as well as advanced visualization with the matplotlib and seaborn libraries.
The course will further cover advanced features of the python language such as objects, classes, and user-defined functions, which are elementary for expert use of python.
Lastly, participants will be introduced to best practices for testing and documenting python code.
Requirements
This course builds on Python Part 1 and familiarity with the basic operations of python is a requirement.
Interested?
➡️ If you are an employee, sign up here
➡️ If you are a PhD student, sign up here
Course Disclaimers:
- The course is free of charge and intended for all KU researchers, and especially PhD students, at SUND
- A no-show fee will be implemented for registrants who do not attend the course
- If you are a PhD student and you would like to receive ECTS credits for participating in this course, you must enroll through the PhD school system
- If you are not a PhD student and sign up via the PhD school registration link, you will be charged for the course
- Please be advised that course participation via the PhD school happens under the PhD school's terms and conditions which HeaDS has no influence over