Introduction to Data Cleaning with Python & Jupyter Notebooks from DML

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.