What you will study in the Analysing Data module at The Open University UK
The module will investigate a greater range of statistical techniques than those introduced at level 1, and will also provide a deeper understanding of the techniques that were introduced.
In this module you will explore the fundamental statistical techniques which can be used to analyse data to answer real, practical, questions such as ‘Does drug A work better than drug B?’ and ‘How often do major earthquakes occur?'.
The starting point for answering such questions is to model the variation in data: some of the most commonly used models for variation are considered in the first part of the module and some of their properties are investigated.
The module then goes on to develop statistical techniques for using data and models of the variation to draw conclusions and answer questions of interest: the specific statistical techniques studied in the module include estimation, confidence intervals, hypothesis tests and regression.
An important skill for any statistician is the ability to communicate their statistical analysis clearly to others, both statisticians and non-statisticians. Statistical report writing is considered in one of the final units of the module.
In addition to the module texts, student learning is supported throughout by short video presentations, computer animations and online interactive practice quizzes.
The ability to analyse and interpret data is central to many careers in, for example, government, health, business, finance and market research. The material in this module explores the fundamental statistical techniques required for analysing and interpreting data.
Statistical software packages are important data analysis tools for practising statisticians: the use of one such statistical software package is integral to this module. Another important skill required by practising statisticians, is the ability to communicate the results from their data analyses: this skill is developed through statistical report writing.
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- You will learn
Successful study of this module should improve your skills in analysing and interpreting data.
- Support from your tutor
Throughout your module studies, you’ll get help and support from your assigned module tutor. They’ll help you by:
- Marking your assignments (TMAs) and providing detailed feedback for you to improve.
- Guiding you to additional learning resources.
- Providing individual guidance, whether that’s for general study skills or specific module content.
- Facilitating online discussions between your fellow students, in the dedicated module and tutor group forums.
Module tutors also run online tutorials throughout the module. Where possible, recordings of online tutorials will be made available to students. While these tutorials won’t be compulsory for you to complete the module, you’re strongly encouraged to take part. If you want to participate, you’ll likely need a headset with a microphone.
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Start dates & application deadlines
- Apply before
DisciplinesMathematics Statistics Data Science & Big Data View 28 other Short Courses in Data Science & Big Data in United Kingdom
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We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
- There is no formal pre-requisite study, but you must have the required mathematical and statistical skills.
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International1584 GBP/fullTuition FeeBased on the tuition of 1584 GBP for the full programme
National1584 GBP/fullTuition FeeBased on the tuition of 1584 GBP for the full programme
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.