Data Wrangling in Python: Introduction to the Pandas Library

Description

This is a two-part workshop series. You must register for and attend part one (Feb. 27, 1-3 p.m.) to attend part two (March 6, 1-3 p.m.).

This beginner-to-intermediate workshop is part one of a two-part workshop series on the pandas library, a popular Python library for data cleaning, data wrangling, and data analysis. Participants in this interactive class will use Jupyter Notebooks software and Python code to import, understand, and prepare a dataset for further analysis or visualization. By the end of this workshop series, participants will be able to:  

1. Identify and use the two primary data structures of the pandas library: Series and DataFrame  
2. Implement functions from the pandas library to explore and analyze a dataset, including:  

+ Handling missing data   + Filtering and sorting data   + Grouping data   + Calculating basic summary statistics   3. Find documentation for the pandas library to troubleshoot errors and apply new functions to analyze a dataset  

Pre-requisites: Participants should be familiar with basic programming concepts, including variable assignment, data types, function calls, and installing packages or libraries. Introductory experience in Python or R will be especially helpful for this workshop.