Data Analysis and Visualization in Python

University of California, Santa Barbara


April 19 & 21, 2022

9:30 am - 12:30 pm

Instructors: Ryan Horne, Amanda Ho

Helpers: Kristi Liu, Amelia Meyer

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General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.

When: April 19 & 21, 2022. Add to your Google Calendar.

Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.

Contact: Please email for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.


For a few of us, teaching Carpentry workshops is part of our job descriptions, but most are volunteers from around campus and the academic Santa Barbara community - including researchers, post-docs, graduate students, faculty, and staff. Meet the instructors and helpers:

Amanda Ho | she/her | Library staff at the Interdisciplinary Research Collaboratory for instructional design and support.
Ryan Horne | he/him | Digitial Humanities Research Facilitator by day, chef for three little ones by night.
Kristi Liu | she/her | A UCSB Geography alum and Library staff member, Kristi spends her free time gluing tiny little GPS units to bees and monitoring regional meteorology
Amelia Meyer | she/her | A fourth-year Statistics and Data Science major, German minor working as a sutdent assistant in the collaboratory.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.

Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Day 1

Before Pre-workshop survey
9:30 am Workshop Introduction
9:45 am Before we start
10:15 am Short Introduction to Programming in Python
10:45 am Break
10:55 am Starting With Data
11:45 am Indexing, Slicing and Subsetting DataFrames in Python
12:30 pm END

Day 2

9:30 am Review
9:40 am Data Types and Formats
10:15 am Combining DataFrames with Pandas
10:50 am Break
11:00 am Data Workflows and Automation
11:45 am Making Plots With plotnine
12:30 pm END
After Post-workshop Survey


To participate in a Data Carpentry workshop, you will need access to software as described on the workshop Setup page. In addition, you will need an up-to-date web browser.

Install the videoconferencing client

If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.

Set up your workspace

Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:

This blog post includes detailed information on how to set up your screen to follow along during the workshop.

The setup instructions for the Data Carpentry Ecology workshops (with Python) can be found at the workshop overview site.