Data Visualization
The course fee for 1-week on-site courses - that includes tuition fee, meals (coffee break and lunch), local transport and the cost of the leisure time programs - is 490 EUR. All applicants are required to pay 90 EUR (out of this 490) as registration fee at registration. The registration fee is non-refundable.
Credits: 3 EC
Our course offers ECTS points, which may be accepted for credit transfer by the participants' home universities. Those who wish to obtain these credits should inquire about the possible transfer at their home institution prior to their enrolment. The International Strategy Office will send a transcript to those who have fulfilled all the necessary course requirements and request one.
Venue: Faculty of Humanities
APPLICATION:
Please pay the registration fee and fill out this form: https://www.elte.hu/en/survey-data-analysis-bsu2024
COURSE DESCRIPTION
Survey research is employed across various topics. One such significant area is politics, which will become particularly relevant in the summer of 2024 due to the European Parliament Elections. This course will utilize data from the election while emphasizing the robust statistical foundation of survey analysis. It will delve into critical aspects such as data collection, weighting, and Total Survey Error. Focusing on methodological foundations and innovative techniques in survey analysis, the course aims to equip participants with the skills to interpret survey results and evaluate the reliability of data sources.
Through data visualization participants aquire practical knowledge based on theory, principles and experience. The participants will learn the basic design principles of data visualization from the aspect of human cognition, perception, visual understanding and reasoning as well as from ethical and critical viewpoints. Participants will put theoretical knowledge into practice using a wide range of visualization and mapping tools, like, for instance: Flourish, RawGraphs, Cosmograph or Foursquare Studio. By the end of the course, participants will be able to create their own, full-fledged data visualization project.
Requirements: Minimal Excel knowledge is required. Please bring along your own laptop.
Course Schedule
15 July (Monday)
09:00 – 10:30: Introduction to the second golden age of data visualization (Attila Bátorfy)
11:00 – 12:30: The theory and principles of data visualization I. (Attila Bátorfy)
13:30 – 15:00: The theory and principles of data visualization II. (Attila Bátorfy)
16 July (Tuesday)
09:00 – 10:30: Practice: drawing by hand / cassification of diagrams (Attila Bátorfy)
11:00 – 12:30: Software 1: Flourish (Krisztián Szabó)
13:30 – 15:00: Software 1: Flourish (Krisztián Szabó)
17 July (Wednesday)
09:00 – 10:30: Software 2: Datawrapper, RawGraphs, PlotDB (Attila Bátorfy)
11:00 – 12:30: Data maps (Attila Bátorfy)
13:30 – 15:00: Software 3: Qgis (Krisztián Szabó)
18 July (Thursday)
09:00 – 10:30: Software 3: Qgis (Krisztián Szabó)
11:00 – 12:30: Software 4: Foursquare Studio (Attila Bátorfy)
13:30 – 15:00: Software 5: Mapbox (Krisztián Szabó)
19 July (Friday)
09:00 – 10:30: Workshop 1. – Individual work
11:00 – 12:30: Workshop 2. – Individual work
13:30 – 15:00: Workshop 3. – Wrap up.