We're living in the era of big data. How can you prepare to gain an in-depth understanding of your business data? You’ll understand the fundamental skills by learning basic business statistics as a stepping stone to AI and Python as a programming tool. You’ll be able to write computer programmes in Python and perform inferential reasoning based on data.
Private Study: 116
Contact Hours: 34
Total: 150
Main assessment methods:
VLE Test 1 (45 minutes): 20%
VLE Test 2 (45 minutes): 20%
Examination (2 hours): 60%
Reassessment methods
100% examination
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
- Display conceptual understanding of the nature of data analysis and probability modelling.
- Critically evaluate managerial problems that can be framed as data analysis problems.
- Perform advanced statistical analyses and communicate results in written reports.
- Demonstrate effective use of Python statistical packages.
The intended generic learning outcomes.
On successfully completing the module students will be able to:
- Deal with complex issues both systematically and creatively, make sound judgements in the absence of complete data, and communicate conclusions clearly to specialist and non-specialist audiences.
- Demonstrate self-direction and originality in tackling and solving problems through research design, data collection, analysis, and reporting.
- Demonstrate effective use of statistical software.
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