Скачать или смотреть 11 Types of Biases that Occur During Sampling

In this video I share 11 types of biases that can occur during a sampling process. As data scientists or analysts, it's important to be aware of theses biases and take steps to mitigate them when designing and conducting research, to ensure that the sample is as representative as possible of the population of interest.


My preferred method of learning is through books since they prevent distractions from social media and provide validated resources.
Here are my favorite DS books recommended below:
The math necessary for data science : https://amzn.to/45alejp
The foundation of NLP : https://amzn.to/48HcmVs
Data Science from Scratch : https://amzn.to/495gO0q
Game Theory 101 : https://amzn.to/48Rkrqy
I may earn commissions for purchases made through the links provided above

00:00 Intro
00:28 Selection Bias
00:54 Non-Response Bias
01:15 Undercoverage Bias
01:40 Volunteer Bias
02:01 Response Bias
02:30 Survirorship Bias
02:55 Sampling Frame Bias
03:15 Temporal Bias
03:40 Geographical Bias
03:54 Confirmation Bias
04:15 Instrument Bias