Introduction to Statistics

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.

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.

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

option 1: 3 weeks, 14 hrs per week - option 2: fulltime