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Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Explores model selection in statistics, discussing principles, probabilistic models, characteristics evaluation, and data visualization methods.
Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Covers regression diagnostics for linear models, emphasizing the importance of checking assumptions and identifying outliers and influential observations.
