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Exploratory Data Analysis in Python Module

ISBN #978-1-959142-30-0

Exploratory Data Analysis in Python Module

This module will introduce students to the first step in the data mining process after data is acquired—exploratory data analysis. This includes univariate statistics (e.g., mean, median, mode, quartiles, skewness, kurtosis) and visualizations (histograms and box plots) as well as bivariate statistics (correlation, t-tests, one-way ANOVAs, chi-squared) and visualizations (scatterplots, barplots, heatmaps, and crosstabs). This module is ideal to prepare students for data cleaning and predictive modeling.

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Course Objective

This module introduces students to exploratory data analysis, covering univariate and bivariate statistics, visualizations, and preparing them for data cleaning and predictive modeling.

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