Introduction-to-Data-Science-in-python

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.Rhistory		.Rhistory
Assignment+2.ipynb		Assignment+2.ipynb
Assignment+3 .ipynb		Assignment+3 .ipynb
Assignment+4.ipynb		Assignment+4.ipynb
City_Zhvi_AllHomes.csv		City_Zhvi_AllHomes.csv
Energy Indicators.xls		Energy Indicators.xls
README.md		README.md
Week+1.ipynb		Week+1.ipynb
Week+2.ipynb		Week+2.ipynb
Week+3.ipynb		Week+3.ipynb
Week+4.ipynb		Week+4.ipynb
cars.csv		cars.csv
census.csv		census.csv
gdplev.xls		gdplev.xls
grades.csv		grades.csv
log.csv		log.csv
log.txt		log.txt
mpg.csv		mpg.csv
olympics.csv		olympics.csv
requirements.txt		requirements.txt
scimagojr-3.xlsx		scimagojr-3.xlsx
university_towns.txt		university_towns.txt
world_bank.csv		world_bank.csv

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