Chapter 5

Math, Probability, and Statistical Modeling


check Introducing the core basics of statistical probability

check Quantifying correlation

check Reducing dataset dimensionality

check Building decision models with multi-criteria decision making

check Diving into regression methods

check Overviewing outlier detection

check Talking about time series analysis

Math and statistics are not the scary monsters that many people make them out to be. In data science, the need for these quantitative methods is simply a fact of life — and nothing to get alarmed over. Although you must have a handle on the math and statistics that are necessary to solve a problem, you don’t need to go study and get a degree in those fields.

Contrary to what many pure statisticians would have you believe, the data science field is not ...

Get Data Science For Dummies, 2nd Edition now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.