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Data Science and Analysis is a collection of activities covering data management, wrangling and discovery, modeling relationships (with parametric models like linear regressions, or non-parametric ones like random forest), prediction in cross-section or time series, as well as building and testing causal inference models. For a collection of applications, see Data Analysis case studies
Could we add something in first para:
Data Science and Analysis is a collection of activities covering data management, wrangling and discovery, modeling relationships (with parametric models like linear regressions, or non-parametric ones like random forest), prediction in cross-section or time series, as well as building and testing causal inference models. For a collection of applications, see Data Analysis case studies
For msba, may add
... used in Introfuctory data analysis, Coding or machine learning
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