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Data preprocessing and visualisation

  • Number of credits 7.5 credits
  • Level Bachelor's level
  • Starting Spring Term 2024

About the course

The objective of Data Science is to enable society, companies and citizens to understand and use the ever-increasing amount of collected data in ways that make it possible to detect potential problems or improvements to the current state of affairs. Data Science should also empower humans to estimate and understand the potential result of different actions. There's a saying about "lies, damned lies, and statistics", which expresses the fact that data-based statistics can be presented in very convincing ways even when the conclusions are false. This course attempts to teach how to detect such false information and ensure more ethical use of Data Science.
One example of practical use of Data Science is analyzing and presenting epidemic-related data and statistics in correct and human-understandable ways so that decisions and actions can be taken based on rational information. Data Science methods are also used for estimating effects of actions for reducing global warming, dimensioning road networks, choosing where to install new shopping centers or restaurants, optimizing the energy usage of buildings, …. To put it shortly, Data Science is one of the most crucial domains for deciding how our current and future society is to be built. More and more companies are also coming to realize the importance of Data Science. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement Data Science capabilities or risk being left behind.

Application and eligibility

Data preprocessing and visualisation, 7.5 credits

Det finns inga tidigare terminer för kursen Spring Term 2024 Visa tillfällen för efterkommande termin


15 January 2024


19 March 2024

Study location




Type of studies

Daytime, 50%

Required Knowledge

At least 7.5 ECTS mathematical statistics.

Entry requirements


Academic credits Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code



Application deadline was 16 October 2023. The application period is closed.

Application and tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK 900

Tuition fee, first instalment

SEK 17,850

Total fee

SEK 17,850

Contact us

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Course is given by
Department of Computing Science