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https://github.com/packtworkshops/the-data-wrangling-workshop

pandas, numpy, matplotlib, data-wrangling
https://github.com/packtworkshops/the-data-wrangling-workshop

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pandas, numpy, matplotlib, data-wrangling

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# The Data Wrangling Workshop
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This is the repository for [The Data Wrangling Workshop](https://www.amazon.com/Data-Wrangling-Workshop-actionable-insights/dp/1839215003/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611065162&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781801078955&utm_term=Data%20Wrangling&utm_content=The%20Data%20Wrangling%20Workshop), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the course from start to finish.

## Requirements and Setup
The Data Wrangling Workshop

To get started with the project files, you'll need to:
1. Install Jupyter on [Windows](https://www.python.org/downloads/windows/), [Mac](https://www.python.org/downloads/mac-osx/), [Linux](https://www.python.org/downloads/source/)
2. Install Anaconda on [Windows](https://www.anaconda.com/distribution/#windows), [Mac](https://www.anaconda.com/distribution/#macos), [Linux](https://www.anaconda.com/distribution/#linux)

## About The Data Wrangling Workshop
Data is the new oil, but it’s often in a crude form. To perform anything meaningful, such as data modeling, data visualization, or predictive analysis, you first need to wrangle with and refine data. [The Data Wrangling Workshop](https://www.amazon.com/Data-Wrangling-Workshop-actionable-insights/dp/1839215003/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611065162&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781801078955&utm_term=Data%20Wrangling&utm_content=The%20Data%20Wrangling%20Workshop) equips you with the knowledge you need to get up and running with data wrangling in no time.

## What you will learn
* Get to grips with the fundamentals of data wrangling
* Understand how to model data with random data generation and data integrity checks
* Discover how to examine data with descriptive statistics and plotting techniques
* Explore how to search and retrieve information with regular expressions
* Delve into commonly-used Python data science libraries
* Become well-versed with how to handle and compensate for missing data

## Related Workshops
If you've found this repository useful, you might want to check out some of our other workshop titles:
* [The Applied SQL Data Analytics Workshop](https://www.amazon.com/Applied-SQL-Data-Analytics-Workshop-ebook/dp/B085D91RNK/ref=sr_1_2?crid=1FDBQD0TEVVF9&dchild=1&keywords=applied%20sql%20data%20analytics%20workshop&qid=1610707878&sprefix=applied%20sql%20dat%2Caps%2C330&sr=8-2&utm_source=github&utm_medium=repository&utm_campaign=9781800203679&utm_term=Applied%20SQL%20Data%20Analytics&utm_content=The%20Applied%20SQL%20Data%20Analytics%20Workshop)
* [The Data Analysis Workshop](https://www.amazon.com/Data-Analysis-Workshop-state-art-ebook/dp/B08Q8HXRQ4/ref=sr_1_1?dchild=1&keywords=The%20Data%20Analysis%20Workshop&qid=1610708839&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781839211386&utm_term=Data%20Analysis&utm_content=The%20Data%20Analysis%20Workshop)
* [The Data Visualization Workshop](https://www.amazon.com/Data-Visualization-Workshop-transforming-captivating-ebook/dp/B08Q8FGCZ7/ref=sr_1_1?dchild=1&keywords=The%20Data%20Visualization%20Workshop&qid=1610977055&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781801073899&utm_term=Data%20Visualization&utm_content=The%20Data%20Visualization%20Workshop)