Data Wrangling in Python: Introduction to the pandas library

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 level workshop will introduce you to 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, 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   

Register: https://jhu.libcal.com/event/9419132

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