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THE SYSTEMATIC EXPLORATORY DATA ANALYSIS (EDA) WORKFLOW
Apply a structured 6-step EDA framework to uncover patterns, detect outliers with the IQR method, engineer features, and solve real-world problems.
Module Content
The 6-Step Systematic EDA Blueprint & Outlier Detection
The complete analyst framework for structural audits, missingness checks, IQR outlier formulas, and bivariate analysis.
Real-World Exploratory Data Analysis with Python
Complete real-world project analyzing 12 months of sales data: cleaning, date parsing, and visual business insights. Pre-read the 6-Step Blueprint above, then re-watch for technique.
Feature Engineering: Discretization & Binning (pd.cut vs pd.qcut)
Master equal-width binning (pd.cut) and quantile-based frequency binning (pd.qcut) for customer scoring.
QUIZ: Exploratory Data Analysis & Outliers
15-question MCQ assessment testing EDA steps, IQR calculation, skewness, and quantile binning.