Data Analysis with Python

This repository contains Data Analysis and Data Manipulations concepts in Python Programming Language.

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Contents

• Theoretical Concepts:

  • Exploratory Data Analysis with Python: This Jupyter notebook contains the process of delving into and analyzing data, covering the understanding of dataset contents and the integration of exploration findings into a data science workflow.

  • Merging DataFrames with pandas: This Jupyter notebook is all about the act of combining- or merging- DataFrames. Also, how to handle multiple DataFrames by combining, organizing, joining, and reshaping them using pandas.

• Projects:

  • Who is Drunk and When in Ames: Performed data manipulation and data analysis on breath alcohol tests dataset from Ames, Iowa.