Uploaded by Richard Mosqueda

data science lecture notes

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Empiricism – reacting to data with experiments and questions.
Focus on the scientific method.
Storing – spreadsheets, dbase, key value stores
Scrubbing – making date easier to work with. Text editors, scripting tools, programming languages.
Analyzing – spss,
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