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Published education catalogue

Data Analytics for Economics and Finance

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: 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.

Entry requirements

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.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

Source and updates

Skolverket Susa-navet

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-08-24T09:23:27