Study Log 02: Population, Samples & The 4 Sampling Techniques (Python)
Back with Study Log 02! Today I'm diving into how data scientists actually collect their data. It's not enough to just know the math; you have to know how to pick the right Sample from a Population so your data isn't biased.
I explain the 4 main sampling techniques (Random, Systematic, Stratified, and Convenience) on the whiteboard, and then we jump into Google Colab to write the actual Python code using the Pandas library.
Timestamps:
0:00 - Introduction (Define population,sample)
2:02 - The 4 Sampling Techniques
4:50 - 3D Population and sample
5:41 - Coding the Samples in Python