DML’s Intro to Data Cleaning with Python and Jupyter Notebooks
Python is useful for automating data cleaning processes. In this workshop, we will read common data types into Python using Pandas, a widely used library for manipulating data. We will cover replacing null values, parsing text data, and reshaping data using pivot table functions. The workshop will also introduce you to using Jupyter Notebooks for project documentation. No prior coding experience necessary, but we recommend installing Anaconda before the workshop.
All members of Georgetown University and its affiliates with a georgetown.edu, gunet.georgetown.edu, or medstar.net email address are welcome. A Zoom link for remote access will be provided after registration is approval on the week of the workshop.