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When & Where
Date: 
Mon, October 26, 2020 - 1:00 PM to 3:30 PM
Location: 
Remote (Zoom information forthcoming)
Description
Type: 

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python.

In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.

We plan to cover:

  • pandas data structures
  • loading data
  • subsetting and filtering
  • calculating summary statistics
  • dealing with missing values
  • merging data sets
  • creating new variables
  • basic plotting
  • exporting data

New to Python? Consider attending D-Lab's Python Fundamentals series!

Link: Github repository for the Introduction to Pandas workshop

Training Keywords: 
Data Manipulation and Cleaning, Introductory Programming
Primary Tool: 
Python
Details
Training Learner Level: 
Basic Competency
Training Host: 
D-lab Facilitator: 
Aaron Culich
Format Detail: 
Hands-on, interactive
Participant Technology Requirement: 
Basic familiarity with Python such as that provided by the D-Lab's Python Fundamentals workshop series. Participants should have a computer with Python 3+ and Jupyter installed. Follow the github link above for more info.
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