It doesn't make sense to ask if the data is parametric or nonparametric.  We can talk about a statistical test being parametric or nonparametric.  A given data set may or may not meet the assumptions of a certain statistical test.

Dear Heba,

you can perform parametric or non-parametric statistical tests to a set of data, according to the characteristics of your data set.

In case of nominal data you only would apply non parametric tests (like Chi-square, Mann-Whitney U...). 

In case of continuous or interval data, you are allowed to use parametric tests when your data are normally distributed. You can tell if your date follow a normal distribution by means of graphical methods (e.g. normal probability plot), but it is better (and recommended) using a normality test. There are different of them, one of the mostly used is the Shapiro-Wilk test.   

Hope this help.