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Data Wrangling in Python: Introduction to the pandas library part 1

Related LibGuide: Using R and Python by Chen Chiu

Monday, February 27, 2023
1:00pm - 3:00pm
Event URL will be sent via registration email.
Registration has closed.

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.  

This beginner-to-intermediate workshop is part 1 of a 2-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   

  1. 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   

  1. Find documentation for the pandas library to troubleshoot errors and apply new functions to analyze a dataset