Introduction To Analytics And Programming

Data analysis and forecasting using different statistical techniques in Python. Topics include linear regression, diagnostics, model correction, assessment and validation, feature selection, missing data, leverage and outliers, logistic regression, classification, and ARIMA models for time series.