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Data Wrangling in Python: Introduction to the pandas library

Data Wrangling in Python: Introduction to the pandas library Online

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   

  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   



Thursday, November 10, 2022
1:00pm - 3:00pm
Time Zone:
Eastern Time - US & Canada (change)
This is an online event.
Event URL will be sent via registration email.
Registration has closed.