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When & Where
Date: 
Mon, May 11, 2020 - 1:00 PM to 4:00 PM
Location: 
Remote (Zoom link below)
Description
Type: 
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
 
After re-registering on the Zoom website, you will receive a confirmation email containing information about joining the meeting.
If you already have and use a Zoom account, please sign into it first, before trying to access the D-Lab workshop.
If you have questions or problems with Zoom, please email: dlab-frontdesk@berkeley.edu
 
Overview
 

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

This workshop assumes basic familiarity with the Python programming language. New to Python? Consider attending D-Lab's Python Fundamentals series.

Be sure to install Python before the workshop starts - this can take up to an hour to complete (link below).

Primary Tool: 
Python
Details
Training Host: 
D-lab Facilitator: 
Evan Muzzall
Format Detail: 
Remote, hands-on, interactive
Participant Technology Requirement: 
Laptop, Internet connection, Zoom account

Beginner

Designed for those who have no experience and are just beginning their coding, tool or method journey.

Examples: Programming Fundamentals, Git Fundamentals, Stata Fundamentals, R Fundamentals, Python Fundamentals, Basics of Excel, Tableau Fundamentals

Log in to register for this training.