If you have R2018a or later, use the normalize (link) funciton. It returns the z-scores of your data.
Otherwise, this produces the same result as normalize using the 'zscore' method:
x = randn(10,1); % Create Data Vector
zsc = (x-mean(x))./std(x); % Calculate Z-Score
Both operate primarily on columns, or on a single vector. The normalize function allows you to operate over rows as well.
