On completion of the course, the candidate has achieved the following learning outcomes, defined in terms of knowledge, skills and general competence:

Knowledge

The candidate...

can utilise their knowledge within data analytics and master state-of-the art in descriptive, diagnostic and predictive analytics for business and know when it is appropriate to use each one of them.
can evaluate the theoretical soundness and application between different data analytics operations such as business understanding, data understanding, data preparation, data transformations, data modelling, data visualization, and evaluation.
can contribute to the development of new knowledge using underlying techniques and methodologies behind visual, text and predictive analytics.
evaluate the strengths and weaknesses of various data analytical techniques from a methodological perspective.

Skills

The candidate ...

can independently formulate problems, plan and conduct data analytic research-informed development work from an organizational/societal perspective.
Can critically reflect on established knowledge and established practice related to data analytics in business.

General competence

The candidate ...

can critically assess the advantages and disadvantages of using various data analysis techniques for real-world datasets
can assess how different data analytical methods can be used within an organizational context
can identify and assess various ethical issues and data protection, compliance issues in performing data analytics

Subject description PIT9204

Data Analytics for Business

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