What is the role of statistical analysis in data science?
Statistical analysis is crucial in data science as it helps in making sense of data, identifying patterns, and making predictions.
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 does statistical analysis improve decision-making in businesses?
It provides insights from data, allowing businesses to make informed decisions based on trends and forecasts.
What tools are commonly used for statistical analysis in data science?
Popular tools include R, Python (with libraries like Pandas and SciPy), and software like SPSS and SAS.
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