Скачать или смотреть Correlation vs Causation Explained | Regression, Non‑Linear Data & Experimental Design Simplified

Learn how to interpret correlation and regression with real-world datasets.
In this video, we break down the concept of correlation and regression, and discuss spurious correlations that can confuse your analysis. You’ll also learn how to transform non-linear data, understand design of experiments (DOE), and compare observational versus experimental study designs. Perfect for students, researchers, and data enthusiasts aiming to strengthen their statistical foundations.

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Chapters
00:00 Introduction to correlation
01:38 Correlation coefficient
02:50 Regression lines
03:10 How to handle non-linear data
04:47 Transformation of non-linear data
06:05 Spurious correlation and confounders
07:07 Design of experiments (DOE)
07:36 Explanatory and response variables
08:10 Controlled experiments
08:48 Gold standards of experimental designs
09:43 Observational study designs
10:16 Cross-sectional and Longitudinal study designs

Plant growth dataset: https://github.com/dsfeorg/datasets/b...
Travel time dataset: https://github.com/dsfeorg/datasets/b...

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#python #correlation #regression #dataanalysis