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This repository contains the assignments that I did to learn Python for Data Science. Mostly it has programming assignments from Coursera course from University of Michigan, few from Udemy various other sources

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python data-analysis udemy-tutorial coursera-python university-of-michigan data-science data-cleaning data-visualization

data-analysis's Introduction

Learning-Python-for-Data-Science

This repository consists of assignments that I did to understand Data Analytics and Data Cleaning in Python environment. It uses libraries of #Pandas #Numpy #Seaborn #Matplotlib exitensively.

> The University of Michigan Course from Coursera Python for Data Science has very useful assignments that help with in depth knowledge of programming skills required to understand data and do slicing and dicing with data.
> Udemy Course by Jose Portilla is great introduction to Data Science concepts. They are more preliminary concepts and the assignments were done in initial learning phase
> The google playstore data file is more of self-learning documentation of how exploratory analysis helps in uderstanding data and how Business Intelligence can be extracted from various kinds of visualization. It also has extensive data cleaning hacks and methods.

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