Statistical Programming for Social Data Science (ECON0128)

Key information

Faculty: Faculty of Social and Historical Sciences
Teaching department: Economics
Credit value: 15

Restrictions: Available only to students on the 果冻影院 MSc Data Science and Public Policy programme.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module will provide students with foundational skills in statistical programming in the R programming language. The module will introduce students to foundational concepts in programming, principles of good data management, and an introduction to data visualisation. The module will cover a variety of issues that are central to practical data analysis work, and which are pre-requisites to subsequent modules of the programme. Topics on this module may include data collection and cleaning; data exploration; version control (git); visualization; object-oriented programming; web-scraping.

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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: 100% Coursework
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 51
Module leader: Dr Stephen Hansen
Who to contact for more information: economics.dspp@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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Useful links

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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