Descriptive Statistics for Data Science: Explained

A detailed go through into various aspects of descriptive statistics using python.

It is often talked about that it is an essential requisite for a data scientist to have the ability to understand all types of data including the numerical and the categorical ones. This ability is stimulated by learning the different aspects of “Statistics”.

Statistics is mainly divided into 2 parts:

  1. Descriptive
  2. Inferential

Two important terminologies to be understood before moving any further are population and sample.

The population refers to the complete record of observation(rows) and features(columns). They are usually very big in size when solving real-time problems.

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Lingaraj Senapati
Hey There! I am Lingaraj Senapati, the Co-founder of lingarajtechhub.com My skills are Freelance, Web Developer & Designer, Corporate Trainer, Digital Marketer & Youtuber.
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