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.?