MN22176: Programming for data science
[Page last updated: 09 August 2024]
| Academic Year: | 2024/25 |
| Owning Department/School: | School of Management |
| Credits: | 10 [equivalent to 20 CATS credits] |
| Notional Study Hours: | 200 |
| Level: | Intermediate (FHEQ level 5) |
| Period: |
- Semester 2
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| Assessment Summary: | CWPI 100% |
| Assessment Detail: |
- Programming coursework (CWPI 30%)
- Final assessment (CWPI 70%)
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| Supplementary Assessment: |
- Like-for-like reassessment (where allowed by programme regulations)
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| Requisites: |
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| Learning Outcomes: |
By the end of the course, you should be able to:
- Understand critical programming language concepts.
- Configure statistical programming software.
- Organise and comment code.
- Make use of debugging tools.
- Create functions and profiling for optimising programmes.
- Perform data cleaning, transformation, visualisation.
- Conduct statistical and empirical analysis.
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| Synopsis: | This unit aims to develop students programming skills for data analysis. You will learn how to install and configure software necessary for a statistical programming environment, describe generic programming language concepts, read data, access packages and built-in functions, write your own functions, debug, and perform data cleaning, transformation, visualisation, and statistical and empirical analysis.
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| Content: | Variables, data types, data structures
Scoping and operation rules
Loop functions
Debugging and profiling
Write functions
Data transformation and visualisation
Statistical and empirical analysis
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| Course availability: |
MN22176 is Optional on the following courses:
School of Management
- UMMN-AFB10 : BSc(Hons) Accounting and Finance (Year 2)
- UMMN-AKB10 : BSc(Hons) Accounting and Finance with work placement (Year 2)
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Notes: - This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
- Courses and units are subject to change in accordance with normal University procedures.
- Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
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