https://github.com/sondosaabed/advanced-data-wrangling

In this advanced course, Learning the three phases of data wrangling: gathering, assessing, and cleaning data.
https://github.com/sondosaabed/advanced-data-wrangling

data-analysis data-analyst-nanodegree data-wrangling numpy pandas python

Last synced: 6 months ago
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In this advanced course, Learning the three phases of data wrangling: gathering, assessing, and cleaning data.

• Host: GitHub
• URL: https://github.com/sondosaabed/advanced-data-wrangling
• Owner: sondosaabed
• License: mit
• Created: 2024-05-11T21:19:08.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-21T15:16:05.000Z (over 1 year ago)
• Last Synced: 2025-03-23T23:43:00.817Z (7 months ago)
• Topics: data-analysis, data-analyst-nanodegree, data-wrangling, numpy, pandas, python
• Language: Jupyter Notebook
• Homepage:
• Size: 897 KB
• Stars: 7
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Advanced-Data-Wrangling

Data wrangling is a set of processes for turning raw and messy data into a clean format to answer interesting questions from the data.

## About

This is the second course of my nano-degree program. It's an Advanced course about the data wrangling process. Through this course, I took many lessons each lesson has also many excesrise. In this repository I include my solutions to the excersices and the summary of the lessons that I take.

## Lessons content

![image](https://github.com/sondosaabed/Advanced-Data-Wrangling/assets/65151701/bd0f7608-731d-40fa-9460-61aa3e839937)