This Introduction to Statistics course, offered through the MSc Epidemiology program developed by the UMC Utrecht and Utrecht University, will provide you with a basic understanding of statistics. Geared towards people studying and working in the health domain, the course will enable you to interpret research data, and to explain and use different types of variables.
The aim of the course is to bring all students, irrespective of their prior knowledge, up to the necessary level to enable them to participate in other statistical courses. In order to achieve this aim, you will be tested on your statistical knowledge at the start of the course. The results will give you an insight into your own statistical strengths and weaknesses, enabling us to provide you with specific advice on how best to participate in the course.
By the end of the Introduction to Statistics course, you will be able to:
- Explain and use the different types of variables: quantitative (numerical) vs. qualitative (non-numerical) with their corresponding sub-types (continuous, discrete, ordinal, non-ordinal)
- Summarize data in a graphical and numerical way, using measures of location and dispersion
In particular, you will be able to:
- Interpret data that is presented both graphically and numerically
- Calculate the different types of frequency measures: 'absolute', 'relative' and 'cumulative' frequency
- Calculate (standard) normal probabilities for, and apply standardization formula to, normally distributed data
- Calculate binomial probabilities
- Apply the principle of statistical inference from sample to population
- Perform simple statistical analysis in the statistical packages SPSS and R
Cas Kruitwagen MSc
Cas Kruitwagen is lecturer of the core courses Introduction to Statistics, Classical Methods in Data Anlaysis and Modern Methods in Data Analysis, and for specialization course Evidence-Based Assessment of New Imaging Techniques.
More information about Cas Kruitwagen can be found here
I haven’t done it before, but for me it is a very nice type of learning. You can do it on a moment that is good for you and do it in the pace that you like, look lectures for a second time etc. I would recommend it to others, but they have to realize that you really have to motivate yourself and I don’t think that is the best way to study for some people. I enjoyed the combination of reading the materials and getting a better understanding of it by watching the lecture.Read more >