https://github.com/dmarks84/coursework_project_boston-data-project

Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing
https://github.com/dmarks84/coursework_project_boston-data-project

communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization

Last synced: 11 days ago
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Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing

• Host: GitHub
• URL: https://github.com/dmarks84/coursework_project_boston-data-project
• Owner: dmarks84
• License: bsd-3-clause
• Created: 2024-01-17T17:02:03.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-01-17T23:06:16.000Z (12 months ago)
• Last Synced: 2024-12-23T13:17:14.527Z (11 days ago)
• Topics: communication, data-modeling, data-reporting, dataframes, eda, hypothesis-testing, matplotlib, numpy, pandas, probability, python, scipy, seaborn, statistics, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 106 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Project(Project_Boston-Data-Project)

### Part of the Coursera series: IBM Data Science

    

## Summary

We inputted a large dataset and ran a number of statistical analyses to better understand what messages the data may be telling us.  We performed hypothesis testing to see if certain observations were statistically significant. 

## Skills (Developed & Applied)

Programming, Python, Statistics, Probability, Hypothesis Testing, SciPy, Numpy, Pandas, Seaborn, Matplotlib, Dataframes, Data Modeling, EDA, Data Visualization, Data Summarization, Data Reporting, Communication