Standard Deviation
Standard deviation measures the dispersion(variability) of the data in relation to the mean. In simple terms, the closest to zero the standard deviation is the more close to the mean the values in the studied dataset are. As mentioned in a previous article here for normally distributed data, the standard distribution gives us valuable information in terms of the percentage of data lying within 1, 2, 3 standard deviations from the mean.
Standard Error
There will be, of course, different means for different samples(from the same population), this is called “sampling distribution of the mean”. This variance between the means of different samples can be estimated by the standard deviation of this sampling distribution and it is the standard error of the estimate of the mean. Now, this is where everybody gets confused, the standard error is a type of standard deviation for the distribution of the means.

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