Practical Data Cleaning 101

This workshop features libraries, tools and strategies for data extraction and cleaning. You will be asked to run code and participate actively, so get ready to do some hands-on data wrangling. Prerequisites: you should feel comfortable using Pandas and Jupyter Notebook. If you don't, you can still attend but there might be points where you are confused as to how to best follow along. Please fork or clone the workshop repository before the course and reach out with any issues: [LINK:https://github.com/kjam/data-cleaning-101] https://github.com/kjam/data-cleaning-101 We will only be going over the data-cleaning notebooks, but you are welcome to take a walk through validation at your leisure!