Program Overview

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• British Archaeology
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Pre-Master's

• Advanced Pre-sessional Course for Graduate Students (nine weeks, full-time)
• Foundations of Diplomacy Pre-Master's Course (six months, full-time)

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• Oxford University Summer School for Adults

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R Programming for Data Science: Introduction

Course Details

• Code: O25P739COZ
• Credit: 10 CATS points
• Fees: Ł360.00
• Dates: Wed 17 Sep 2025 - Wed 26 Nov 2025
• Time: 7:30-8:30pm (UK)
• Location: Online (Live)

Course Aims

An introductory overview of the R programming language is covered in this course. Students will learn the basics of R and move on gradually to data processing and performing excel-like operations on tabular data.

Course Objectives

• To introduce programming with R.
• To introduce how to read data from files.
• To introduce how to perform excel-like operations with R.

Teaching Methods

This course takes place over 10 weeks, with a weekly learning schedule and weekly live webinar held on Microsoft Teams.

Learning Outcomes

By the end of the course students will be expected to:

• understand R syntax, basic control flow and program design;
• understand R data structures and how/when to use them;
• understand how to perform Excel-like operations with R.

Assessment Methods

You will be set independent formative and summative work for this course. Formative work will be submitted for informal assessment and feedback from your tutor, but has no impact on your final grade. The summative work will be formally assessed as pass or fail.

Level and Demands

This course is open to all and no prior knowledge is required. This course is offered at FHEQ Level 4 (i.e. first year undergraduate level), and you will be expected to engage in independent study in preparation for your assignments and for the weekly webinar.

English Language Requirements

We do not insist that applicants hold an English language certification, but warn that they may be at a disadvantage if their language skills are not of a comparable level to those qualifications listed on our website.

IT Requirements

Any standard web browser can be used to access course materials on our virtual learning environment, but we recommend Google Chrome. We also recommend that students join the live webinars on Microsoft Teams using a laptop or desktop computer rather than a phone or tablet due to the limited functionality of the app on these devices.