This earner knows how to prepare data for analysis by handling missing values, formatting & normalizing data, binning & turning categorical values into numeric values. They can conduct exploratory data analysis using descriptive statistics, data grouping, analysis of variance (ANOVA), & correlation statistics. They can develop a predictive model using various regression methods, evaluate a model for overfitting & underfitting conditions, & tune its performance using regularization & grid search.

• Type Validation
• Level Foundational
• Time Days
• Cost Paid