QuACK
Quantitative analysis and coding knowledge (UC Berkeley, Psychology)
Programming and Data Skills Bootcamp - Summer 2022
Welcome to UC Berkeley Psychology’s Summer Bootcamp!
This hands-on four-session bootcamp will focus on teaching fundemental data skills in R with an emphasis on good data and coding practices. This bootcamp is open to all RAs and post-bacs in the department. Graduate students are also welcome to attend. Importantly, no programming experience or R knowledge is expected or required! Come as you are and learn!
Dates, time, and location
Dates: Wednesdays in July (7/6, 7/13, 7/20, and 7/27)
Time: 2-3:30pm
Location: Berkeley Way West, Room 3101 (conference room in the 3rd floor atrium)
Sessions include live demos, individual work, and group work, and are interactive and hands-on. For these reasons, we encourage all who can to attend in person in order to get the most out of the bootcamp. That said, we understand that some people are remote this summer, may have time conflicts, or may need to miss a session. In order to make the materials as accessible as possible, we will also be recording all sessions and posting the recordings, materials, and answer keys to this site.
Instructors
The bootcamp is developed and taught by Emily Rosenthal, Elena Leib, and Willa Voorhies, who are PhD students in the department and R enthusiasts!
Core Goals
1) Provide hands-on training in fundamental programming and data skills with real data
2) Build an inclusive, supportive, and positive space for learning and teaching these skills in the community
3) Help students build confidence in their skills and their ability to continue learning on their own after the bootcamp
Schedule
Each session will start with a live demo focusing on fundemental data skills. We will then work independently and in groups to apply these skills to real data. Finally, we will finish each session with a group discussion centering around the challenges faced while working with the data and ways to address and overcome them.
| session | topic | practice materials | live demo script & answer key | slides | recording |
|---|---|---|---|---|---|
| July 6 | Getting started with R | s1_materials | s1_demo-script | s1_slides | s1_recording |
| July 13 | Accessing and reading data | s2_materials | s2_demo-script & key | s2_slides | s2_recording |
| July 20 | Cleaning and organizing dataframes | s3_materials | s3_demo-script & key | s3_slides | s3_recording |
| July 27 | Data visualization | s4_materials | s4_demo-script & key | s4_recording |
Materials guide
We are committed to open science and we make all of our resources and teaching materials freely available for offline learning.
Data: We will be using the same dataset throughout the bootcamp. You can find the data in the session 1 practice materials.
Each week we will post some additional materials:
- Practice materials: This will include any starter code and prompts for the independent and/or group work. The best way to learn to program is to practice! So if you are participating asynchronously, we encourage you to try the practice to apply the new skills.
- Live demo script: Each session will begin with a demo where we introduce some fundemental skills and key concepts that will help you with the practice materials. We will post these after each session. This will also include answer keys for the group activity if applicable.
- Slides: Any slides used will be made available for download after the session.
- Recording: We will be recording all of our sessions. If you miss a session we encourage you to watch the recording!
Participating in person
Please download the practice materials before each session. We will be sharing all other materials after the session. See our FAQs for more info on the workshop and what to do if you miss a session.
Participating asynchronously
Each week we will post a recording of the session as well as all of the materials you need to follow along. See the materials guide for more details.