Graduate School of health and Medical Sciences

Data visualization and storytelling
Provider: Faculty of Health and Medical Sciences

Activity no.: 3944-24-00-01	There are no available seats
	Enrollment deadline: 01/08/2024

Date and time	26.08.2024, at: 10:00 - 03.09.2024, at: 16:00
Regular seats	20
Course fee	4,200.00 kr.
Lecturers	Samir Bhatt
ECTS credits	2.40

Contact person	Kathe Jensen E-mail address: kje@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

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 enrollment 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. Critically assess visualisation quality and suggest improvements 2. Describe and master different static plot types for univariate, multivariate data, networks, and maps 3. Employ visualisation as an effective diagnostic tool for exploratory data analysis 4. Have insight into and compare visualisation techniques for result reporting and data storytelling 5. Have insight into interactive plots for presentations and websites Content The objective of this course is to teach basic principles and practical skills in data visualization to systematically derive valuable insights from data. Starting from simple visualization techniques, the students will learn how to implement and create complex plots with applications to health research (e.g., maps, networks, interactive plots). The course also aims at fostering critical thinking about figures and tables in the scientific literature. The course will have four half-day lectures and four optional exercise hours placed as one each week. Participants PhD students enrolled at the “Biostatistics and Bioinformatics” and “Public Health and Epidemiology” programmes, and academic staff in the Department of Public Health. Prerequisites: Basic Knowledge of statistics, programming in R or Python. Participants are expected to bring their own laptop with a working version of R or Python. 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: - Public Health and Epidemiology - All graduate programmes Language English Form Lectures in four half days, two half days of exercises, one half-day of discussion/debate about data visualisation techniques, one half-day of presentation Course director Jacob Curran-Sebastian, Postdoc (University of Copenhagen) Teachers Jacob Curran-Sebastian, Postdoc (University of Copenhagen) Kaustubh Chakradeo, PhD student (University of Copenhagen) Neil Scheidwasser, PhD student (University of Copenhagen) Samir Bhatt, Professor (University of Copenhagen) Dates 26, 27 August 2024 and 2, 3 September 2024 Course location TBD Registration Please register before 1 August 2024 Expected frequency: Twice per year 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.

Click the search button to search Courses.

See which courses you can attend and when

Jan	Feb	Mar	Apr
May	Jun	Jul	Aug
Sep	Oct	Nov	Dec

New courses
Courses are published regularly. High demand courses are announced in spring and autumn.

Learn which courses are announced on fixed dates