First principles thinking is defined as “boiling problems down to their most fundamental truths”. So when it comes to Data Science, what are the first principles ? In my opinion they are : Measures of central tendency — Mean, Median, Mode. Measures of dispersion — Variance, Standard Deviation, Interquartile Range. …