The analysis of data has a central role in the modern information society. Organizations in both the public and private sector are collecting vast data sets, and an increasing amount of public sector data is made open.
However, data - assumed to be an important asset for organizations - is useless unless it is analyzed. Analysis is needed to find regularities such as trends or groupings, and to relate the data to other data sets within an organization or in scattered online repositories.
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The analysis needs activities such as data cleansing, data integration, modeling and prediction, interactive and iterative visualization of data and models for the refinement of hypotheses and models, and the presentation of intermediate and final results to the decision-makers using visualization and reporting methods. Successful analysts need skills in both computational and statistical topics.
This programme educates top-level experts in computational and statistical data analysis, who possess knowledge and skills for the aforementioned tasks and understand the overall processes of data analysis.
Such analysts can be employed, for example, in dedicated analysis firms, as in-house analysts in companies producing big data, and in numerous types of companies and organizations that gather and analyze public and private data, such as government, journalism, insurance, law enforcement, and finance, as well as in public and private research.