  In this course, I try to provide a few basics required for performing data
analysis in asteroseismology. First, I address how one can properly treat times
series: the sampling, the filtering effect, the use of Fourier transform, the
associated statistics. Second, I address how one can apply statistics for
decision making and for parameter estimation either in a frequentist of a
Bayesian framework. Last, I review how these basic principle have been applied
(or not) in asteroseismology.
