Introduction to Statistics (online)

Our Introduction to Statistics course 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.

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

Our courses are aimed at clinical researchers, nurses, general practitioners, and other health professionals who want to improve their skills in epidemiology, statistics and (clinical) research.

3 weeks, 14 hours per week (online)

Even though you can manage your own time our courses are not intended as individual education. We offer personalized online learning with lots of interaction with peer students, the E-moderator and lecturers. Flexibility from students, a positive attitude towards teachers and peers and the willingness to learn together and help each other is invaluable to our courses. To experience maximum interaction, we advise you to log on several times per week.

Note that the starting dates of courses, interim deadlines, and dates of exams are fixed, but you can choose when and where you want to watch web lectures and work on assignments. The e-moderator of the course will inform you about the beginning of the course and about deadlines during the course.

The average required study workload for the courses of MSc Epidemiology Postgraduate Online is 14 hours per week. You will need this time to study, to keep up with the assignments and course material.