This is the repository for The Data Wrangling Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.
To get started with the project files, you'll need to:
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 equips you with the knowledge you need to get up and running with data wrangling in no time.
- 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
If you've found this repository useful, you might want to check out some of our other workshop titles: