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Last modified: 07 Dec 2020 09:30

Course Overview

This is an introductory course in statistics and statistical methods for data analysis.

We will introduce descriptive statistics, ANOVA, GLMs, correlations, spectra, wavelets, etc.

This will allow us to perform typical analysis that underlie most modern data science questions.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
  • Dr Ekkehard Ullner

What courses & programmes must have been taken before this course?

  • Master Of Science In Data Science
  • Any Postgraduate Programme

What other courses must be taken with this course?


Are there a limited number of places available?


Course Description

In this course we will introduce the bases of statistics and statistical modelling.

We will discuss the basics of descriptive statistics, means, variances, quantiles, distributions, etc, following standard textbooks in this area.

Furthermore, this course will introduce ANOVA and GLMs.

It will also introduce standard methods of time series analysis such as correlations, spectra wavelets etc. Some more advanced methods on time series modelling and forecasting will also be discussed.

We will also use (at a very ad hoc level) various approaches of machine learning such as clustering, distribution learning, outlier detection etc.

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for courses may be subject to change. All updates for first-half session courses will be actioned no later than 1700 (GMT) on 18 September 2020. All updates for second half-session courses will be actioned in advance of second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

2 online assessments (50% each)

Resit (for students taking the course in AY20/21)

Resit of any failed element

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ProceduralApplyCarry out basic statistical analyses using a modern statistical computing language.
ReflectionEvaluateDevelopment of codes in a modern statistical computing language to solve problems using statistics and times series.
ProceduralEvaluateUnderstand basic concepts in statistics and times series analysis.

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