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Overview
The Classical Methods in Data Analysis course from Utrecht University also includes an extensive discussion of the multiple linear regression model. This is an ideal course for anyone who wishes to further his/her medical education by getting a better understanding of data analysis.
Learning objectives
By the end of the course you will...
- have insight in the √n law and its consequences for sample size
- have insight in the general principles of decision procedures (“testing”), and be able to apply these procedures in practice using common statistical packages (SPSS, R)
- understand the principles of the following statistical analysis techniques: Student T tests (1-sample, 2-sample and paired), Analysis of Variance (1-way and 2-way ANOVA), Simple and multiple linear regression analysis, 1-sample, 2-sample and paired proportion tests (χ 2 test for goodness-of-fit, Pearson’s χ 2 test and McNemar’s χ 2 test)
Programme Structure
Topics are:
- Types of data
- Location and variability measures
- Samples and populations
- Distributions
- Confidence intervals
- Hypothesis testing
- Comparing two or more means or proportions (parametric and non-parametric methods)
- Relationships between two variables (correlation, simple linear regression).
Key information
Duration
- Part-time
- 3 months
- 14 hrs/week
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
Credits
6 ECTS
Delivered
Online
Campus Location
- Utrecht, Netherlands
Disciplines
Classics Data AnalyticsWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
To enroll in this course you need:
- A BSc degree
- To have participated in an introductory statistics course
- A sufficient proficiency in English reading and writing
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1950 EUR / full≈ 1950 EUR / full -
EU/EEA Applies to you
Applies to youEU/EEA Nationals1950 EUR / full≈ 1950 EUR / full
Funding
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