Data analytics

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Gain insights by measuring and analysing data. Researching a dataset can give you useful quantitative information about the topic of interest.


Collect data that is relevant for your area of research and analyse it. Split your dataset into a training set and a test dataset. Find an algorithm that works with the training data and check whether it is reliable with the test data.


  • A data collection plan.
  • Analysis tooling (e.g. statistical tooling or machine learning algorithms).
  • A critical eye on the validity of your data and your conclusions.
  • Comprehensive data visualisations

In practice

Applied data science is now done in many fields. For example, it is used in the business domain to predict customer behaviour.