Exploratory Data Analysis Using Python – Part 2 of 2

This is the second of two workshops on exploratory data analysis using Python, and you must have completed Exploratory Data Analysis Using Python – Part 1 of 2, or be familiar with reading, describing, filtering, and summarizing data using the pandas package.

This hands-on workshop in Python uses the pandas package and Jupyter Notebooks to group data, work with text formats, recode data, and create new variables. We will be using software installed on computers in the MDL Lab and a sample data set that includes categorical, binary, text, date, and numerical data.

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