Interpreting the Credit Card Defaulter Dataset

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Data Science
Course Length
28 minutes
Data Academy

Course Description

Explore data related to credit card defaulters to identify customer personas. Discover patterns in the data and interpret how each feature impacts the target variable. This course is part of the Data Analysis learning path – complete this path to learn how to analyze a variety of different datasets using Python.


  • Prior knowledge of Python is assumed. Previous experience of using standard Python packages for data analysis (such as pandas, NumPy, and SciPy) will be beneficial, though is not an absolute requirement.