Quantitative analysis and coding knowledge (UC Berkeley, Psychology)
This hands-on four-session bootcamp will focus on teaching fundamental 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: Wednesdays 6/14, 6/21, 6/28, and 7/12 (Please note that we will not have a session on 7/5)
Time: 1:00 - 2:30 PM
Location: Berkeley Way West (BWW), 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.
The bootcamp is taught by Emily Rosenthal and Sierra Semko Krouse who are PhD students in the department and are always learning about R themselves! The bootcamp point-person who manages all things logistics is Becca Corona.
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.
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 |
---|---|---|---|---|---|
June 14 | Getting started with R | s1_materials | s1_demo-script | s1_slides | s1_recording |
June 21 | Accessing and reading data | s2_materials | s2_demo-script w/ key video walk-thru of s2_key |
s2_slides | s2_recording video walk-thru of working-directory |
June 28 | Cleaning and organizing dataframes | s3_materials | s3_demo-script w/ key video walk-thru of s3_key |
s3_slides | s3_recording |
July 12 | Data visualization | s4_materials | s4_demo-script w/ key s4_activity_key video walk-thru of s4_key |
s4_slides | s4_recording |
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:
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.
Each week we will post a recording of the session as well as all of the materials you need to follow along. Please see the Materials Guide above for details.
Emily and Sierra will be offering weekly office hours both in-person and over Zoom to talk with you about the bootcamp, projects of your own, PhD aspirations, etc. No need to make an appointment - just come say hello!