Introduction to Statistics (f2f)

This course provides basic knowledge of statistics. The course is aimed to level differences in prior knowledge among students and provide the necessary base for the next two statistical courses.

At the end of this course, the student is 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
• interpret data that is presented both graphically and numerically
• calculate the different types of frequency measures, being ‘absolute’, ‘relative’ and ‘cumulative’ frequency
• calculate (standard) normal probabilities, apply standardization formula for normally distributed data
• calculate binomial probabilities
• apply the principle of statistical inference from sample to population
• perform simple statistical analysis in the statistical packages 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.

1 week, fulltime

This face to face course of Introduction to Statistics is offered via blended learning i.e. e-learning, computer practicals, exercises, self-study.

Questions on theory and exercises can be posted on the appropriate forum on the learning environment or asked during the computer labs in the afternoon (on location, attendance is optional). The exam will be on location (i.e. not online).

Obligatory book: “The Practice of Statistics in the Life Sciences” by Baldi and Moore (MacMillan publishers), 4th Edition

More information about how to order the book and a discount code will be provided after registration for the course.

Please note that this course is part of an existing program within the Graduate School of Life Sciences. Tuitition fees may alter during the year.