Event box

Data Wrangling in Python: Introduction to the pandas library

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   

  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   

   

 

Date:
Thursday, November 10, 2022
Time:
1:00pm - 3:00pm
Campus:
Online
Audience:
  Faculty/Staff     Students  
Presenter:
Marley Kalt
Categories:
Data Cleaning, Manipulating and Visualization   Data Services  
Registration has closed.

Event Organizer

Marley Kalt
Data Services