Aim and content

This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH.

Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrolment deadline, available seats will be allocated to the waiting list.

The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member faculties. All other participants must pay the course fee.

Learning objectives
A student who has met the objectives of the course will be able to:
1. Define and explain the use of basic programming concepts in Python, such as variables and data types and structures including lists, dictionaries, dataframes, etc. and perform elementary programming tasks needed for data analysis in Python.
2. Draw on online resources, especially documentation of different packages and community help forums to debug Python programs and acquire new knowledge and skillsets.
3. Know the different use cases of key Python libraries for data collection and analysis, including pandas and plotly express.
4. Understand how to structure Python scripts and Jupyter notebooks and how to collaborate with others on Python code using Google Colaboratory.
5. Use Python for simple programming and data analysis tasks in relation to scientific research projects.

Content
The course will first introduce the programming language in general, its strengths and use cases, and we will demonstrate how to run Python code in Jupyter Notebooks using Google Colaboratory. The course will provide an overview of the fundamental Pythonic data types and data structures such as strings, floats, integers, Boolean, lists, dictionaries etc., and participants will learn about conditional statements, how to write loops and how to organize code in functions. Lastly, the course will cover several libraries, especially pandas and library plotly express, which allow for efficient data manipulation and visualization.

Participants
Seats: 35
The course is intended for PhD students at SUND who are interested in learning how to use Python and who have no prior experience with this (or any other) programming/scripting languages.
The course teaches the fundamentals and is targeted towards medical and biological researchers, e.g. not targeted towards students in data science, although they are of course welcome to join the course.

Relevance to graduate programmes
The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:
– All graduate programmes

Language
English

Form
The course is a combination of:
1. Lectures (run in real time in Jupyter Notebooks on Google Colab).
2. In-plenum exercises which are introduced and discussed during the lectures.
3. Longer exercises done collaboratively in smaller groups of participants.

Course director
Anders Krogh,
Professor, Head of Center for Health Data Science,
Center for Health Data Science,
anders.krogh@sund.ku.dk

Teachers
Henrike Zschach
PhD, Data Scientist,
Center for Health Data Science,
henrike.zschach@sund.ku.dk

Inigo Prada
PhD, Postdoc,
Department of Computer Science,
inlu@di.ku.dk

Valentina Sora
PhD, Postdoc
Center for Health Data Science
vaso@di.ku.dk

Dates
29, 30 and 31 October 2024 from 08:00 to 16:00.

Course location
Faculty of Health and Medical Sciences, Panum,
Blegdamsvej 3B, 2200 København.
29 October: Room 13.1.41 AND Room 13.1.61
30 October: Room 13.1.41 AND Room 13.1.61
31 October: Room 13.1.63 AND Room 13.1.83

Registration
Please register before the 30th of September

Expected frequency
The course will run three times per year – once in the Fall and twice in the Spring.

Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules.
Applications from other participants will be considered after the last day of enrolment.

Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.