Online
Jun 21-24, 2021
2:30 pm - 5:00 pm
Instructors: Rebecca Dikow, Jenna Ekwealor, Mike Trizna, Alex Robillard
Helpers: Vanessa González, Paula Pappalardo, Carlos Arias, Matt Kweskin, Luis Villanueva
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Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Jun 21-24, 2021. 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 si-datascience.si.edu for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
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.
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.
| Before starting | Pre-workshop survey |
| 2:30 PM ET | Workshop Introduction |
| 2:45 PM ET | The Unix Shell |
| 3:25 PM ET | 5 min Break |
| 3:30 PM ET | The Unix Shell (Continued) |
| 5:00 PM ET | END |
| 2:30 PM ET | Previous Day Review and Question Session |
| 2:40 PM ET | Data Organization in Spreadsheets |
| 3:30 PM ET | OpenRefine for Data Cleaning |
| 4:00 PM ET | 15 min Break |
| 4:15 PM ET | OpenRefine for Data Cleaning (Continued) |
| 5:00 PM ET | END |
| 2:30 PM ET | Previous Day Review and Question Session |
| 2:40 PM ET | Data Analysis and Visualization in Python |
| 3:45 PM ET | 15 min Break |
| 4:00 PM ET | Data Analysis and Visualization in Python (Continued) |
| 5:00 PM ET | END |
| 2:30 PM ET | Previous Day Review and Question Session |
| 2:40 PM ET | Data Analysis and Visualization in Python (Continued) |
| 3:45 PM ET | 15 min Break |
| 4:00 PM ET | Data Analysis and Visualization in Python (Continued) |
| 5:00 PM ET | END |
To participate in a workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
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: