Key information
- Faculty
- Faculty of Engineering Sciences
- Teaching department
- 果冻影院 School of Management
- Credit value
- 15
- Restrictions
-
Module is only available to students on the following programmes:
- MSc Business Analytics (Postgraduate delivery)
- MSc Data Analytics (Postgraduate delivery)
-MRes Management
- 3rd year IMB (Undergraduate delivery)
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
This module provides a general introduction to programming in Python using Jupyter Notebooks and then moves on to an exploration of key Python packages for undertaking analytical projects such as MatPlotLib, NumPy and Pandas.
The module covers the preparation of datasets and introduces students to simple examples of machine learning algorithms. The importance of building insightful visualisations will also be emphasised.
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 1 听听听
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
60%
Coursework
40%
Other form of assessment
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
144
- Module leader
-
Mr David Alderton
- Who to contact for more information
- mgmt-postgraduate@ucl.ac.uk
Intended teaching term:
Term 1 听听听
Undergraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
60%
Coursework
40%
Other form of assessment
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
19
- Module leader
-
Mr David Alderton
- Who to contact for more information
- mgmt-postgraduate@ucl.ac.uk
Last updated
This module description was last updated on 8th April 2024.
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