In this lesson, you will learn about “correlation and causation,” one of the most important topics in data science. Rather than memorizing terms alone, you will aim to explain the mechanisms and reasons in your own words.
Key Point
Correlation shows a relationship between changes, but because of confounding and reverse causation, causation cannot be concluded without experiments or additional analysis.
Correlation shows a relationship between changes, but because of confounding and reverse causation, causation cannot be concluded without experiments or additional analysis.
Point
- Check not only the conclusion but also the reason for it
- Distinguish similar terms and exceptions
- Try applying the same way of thinking to other examples
Practice
- Explain the key point in two sentences.
- Give one common misunderstanding and explain what is different about it.
- Check it by applying it to a familiar or specific example.