Spatial Data Analyst
The Spatial Data Analyst course is an intensive upskilling programme focused on the possibilities of geographical analysis in urban environments using modern tools and methods. The course is designed primarily for professionals with a basic knowledge of spatial (geographic) analysis who demand expanded knowledge and skills in analyzing the physical and social environment of cities and their metropolitan regions.
The structure of the course consists of five thematic blocks with the following content: small data, big data, field exercise, synthesis and interpretation, workshop. Small data represent the traditional robust data base for urban analysis in demography, transport, governance or urban planning. There is now not only the opportunity to use brand new data from the 2021 population census, but also extensive sources of continuous statistics. Big data, on the other hand, represents a completely new opportunity to map mobility, functions, urban rhythms and the behaviour of urban users in real time. As part of the field practicum, students will use modern mapping tools (ArcGIS Field Maps) and will be instructed how to take panoramic aerial photographs using a drone. The final session will discuss methods for synthesizing available data and information, visualizing and interpreting data. The course concludes with a workshop with the presentation of student visual portfolios. The portfolios consist of graphic and cartographic outputs from each class. Successful outputs may be published on the Map and Data Centre website/DataHub portal.
| Name of Course | Semester | Course in Moodle | Course in SIS | Code |
| Spatial Data Analyst | summer | link | will be filled soon | will be filled soon |
Notice:
After clicking the button, you will be redirected to the Student Information System (SIS) where you can register for the course.