Exploratory Data Analysis Using Python – Part 1 of 2

This hands-on workshop in Python covers reading, describing, and filtering data, as well as conducting basic summary analyses, using the pandas package and Jupyter Notebooks. Workshop attendees do not need any experience with programming or Python/pandas, but must be familiar with tabular data and have a basic understanding of different types of data (quantitative/qualitative variables). We will be using software installed on computers in the MDL Lab and a sample data set that includes categorical, binary, text, and numerical data.

You may also be interested in registering for Exploratory Data Analysis Using Python – Part 2 of 2.

Location: Robarts Library, 5th Floor, Map & Data Library Computer Lab