What role does statistics play in data science?
Statistics is fundamental in data science as it helps in data analysis, interpretation, and decision-making.
Can you give me some examples of statistical methods used in data science?
Sure! Common methods include regression analysis, hypothesis testing, and Bayesian statistics.
How do I choose the right statistical method for my data?
Choosing the right method depends on your data type, the research question, and the assumptions of the method.
What are some common pitfalls in using statistics in data science?
Common pitfalls include misinterpreting results, ignoring assumptions, and overfitting models.
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