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General Information

This workshop series includes topics such as Unix Shell, Git/GitHub, Intro to Machine Learning, Intro to Docker, Data Visualization in Python, and Intro to Julia. Each workshop can be registered separately and has their own pre-requisites. 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 "Best Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. Prerequisites for each workshop are listed in the schedule section below.

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

When: Sept. 7, 28: Oct. 26-27: Nov. 16-17, 30: Dec. 14. 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 “facilitator@datascience.wisc.edu” for more information.

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

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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.

Report a Code of Conduct Incident

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Collaborative Notes

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

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Surveys

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

Pre-workshop Survey

Post-workshop Survey

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Schedule

Date	Workshop	PreRequisites	Etherpad
September 7th	Unix Shell	NA	Etherpad
September 28th	Git/GitHub	For this workshop, you need to be familiar with all of the commands taught in this Unix Shell lesson	Etherpad
October 26-27th	Intro to Machine Learning with Sklearn	For this workshop, you need to have a basic familiarity with python	Etherpad
November 16-17th	Intro to Docker	For this workshop, you need to have a base familiarity with using a command shell and the text editor	Etherpad
November 30th	Interactive Data Visualizations in Python	For this workshop, you need to have a base familiarity with python, the unix shell, and github	Etherpad
December 14th	Intro to Julia	For this workshop, you need to have a base familiarity with files, directories, arrays, and indices	Etherpad

The lesson taught in this workshop is being piloted and a precise schedule is yet to be established. The workshop will include regular breaks. If you would like to know the timing of these breaks in advance, please contact the workshop organisers. For a list of lesson sections and estimated timings, visit the lesson homepage.

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Setup

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.

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:

• Two monitors: If you have two monitors, plan to have the tool you are learning up on one monitor and the video conferencing software on the other.
• Two devices: If you don't have two monitors, do you have another device (tablet, smartphone) with a medium to large sized screen? If so, try using the smaller device as your video conference connection and your larger device (laptop or desktop) to follow along with the tool you will be learning about.
• Divide your screen: If you only have one device and one screen, practice having two windows (the video conference program and one of the tools you will be using at the workshop) open together. How can you best fit both on your screen? Will it work better for you to toggle between them using a keyboard shortcut? Try it out in advance to decide what will work best for you.

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

Date	Workshop	Setup Items
September 7th	Unix Shell	Setup Instructions
September 28th	Git/GitHub	Setup Instructions
October 26-27th	Intro to Machine Learning with Sklearn	Setup Instructions
November 16-17th	Intro to Docker	Setup Instructions
November 30th	Interactive Data Visualizations in Python	Setup Instructions
December 14th	Intro to Julia	Setup Instructions