Data Analytics for Economics and Finance
University of Gothenburg
Startdatum:
Slutdatum:
Studietakt: 100 %
Publicerad utbildningskatalog
Utbildningsinformation från den publicerade källan. Utbildningen och dess tidsbundna tillfällen hålls åtskilda.
Kod: NEK310
This course covers methods for generating data sets for further analysis by merging and processing data from several "big data" data sources, analysis of data quality, data visualization and machine learning methods. These methods are implemented using an appropriate software package. The course is to a large extent based on computer-based project work.
Admission to the course requires a minimum of 30 credits of Statistics, of which at least 15 credits have obtained a passing grade, or 60 credits of Economics, of which at least 45 credits have obtained a passing grade, or 60 credits of Finance, of which at least 45 credits have obtained a passing grade.
Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.
University of Gothenburg
Startdatum:
Slutdatum:
Studietakt: 100 %
Hämtad: .
Publicerad: .
Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2026-01-19T13:54:02