November 9, 2021 @ 1:00 pm – 3:00 pm

Prerequisites: 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  
  3. Calculating basic summary statistics  
  4. Find documentation for the pandas library to troubleshoot errors and apply new functions to analyze a dataset   

Registration link: https://jhu.libcal.com/event/8219448