https://github.com/buildwithlal/introduction-to-data-science-in-python-coursera

introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
https://github.com/buildwithlal/introduction-to-data-science-in-python-coursera

data-analysis matplotlib numpy pandas

Last synced: 9 days ago
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introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

• Host: GitHub
• URL: https://github.com/buildwithlal/introduction-to-data-science-in-python-coursera
• Owner: BuildWithLal
• Created: 2018-03-14T04:48:54.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-03-14T05:14:14.000Z (over 6 years ago)
• Last Synced: 2024-07-31T22:51:49.526Z (4 months ago)
• Topics: data-analysis, matplotlib, numpy, pandas
• Language: Jupyter Notebook
• Homepage:
• Size: 6.69 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
#### 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

##### What you will learn at the end of this course

1. How to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. 

2. 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. 

3. Statistics primer, showing how various statistical measures can be applied to pandas DataFrames. 

4. Take tabular data, clean it,  manipulate it, and run basic inferential statistical analyses.