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Interactive Data Analysis

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Prerequisites/Assumptions: The material in this lecture assumes basic  knowledge of Python, Series and DataFrames.

Duration: This module is designed to be covered in two lectures and is complemented by Lab assignment aimed at reinforcing students’ knowledge on Pandas data structures and its use for data exploration.

NOTE: To view the notebooks you have to run a Jupyter notebook or view them with nbviewer technology which github supports.