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What statistics should I know to do data science?

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Data science refers to dealing with data. Statistical analysis helps in enhancing predictability, pattern analysis, and concluding and interpreting the data. The two fundamental statistics concepts that play a key role in data science are descriptive and inferential statistics.
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Data science refers to dealing with data. Statistical analysis helps in enhancing predictability, pattern analysis, and concluding and interpreting the data. The two fundamental statistics concepts that play a key role in data science are descriptive and inferential statistics.
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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

To do data science, you should know basic statistics like averages (mean, median), probability, hypothesis testing, and correlation. These help you understand and analyze data, make predictions, and draw conclusions. You'll use statistics to summarize data, test hypotheses, and find patterns. Having...
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To do data science, you should know basic statistics like averages (mean, median), probability, hypothesis testing, and correlation. These help you understand and analyze data, make predictions, and draw conclusions. You'll use statistics to summarize data, test hypotheses, and find patterns. Having a good grasp of these statistical concepts is essential for successful data analysis and interpretation.

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